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ORCIDEvgeny Burnaev
Evgeny V. Burnaev – Evgeniy Burnaev – Eugeny Burnaev
Person information
- affiliation: Skolkovo Institute of Science and Technology (Skoltech), Russia
- affiliation (2009 - 2018): Russian Academy of Sciences, Kharkevich Institute for Information Transmission Problems, Moscow, Russia
- affiliation (former): Moscow Institute of Physics and Technology, Russia
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2020 – today
- 2025
[j43]N. Alsahanova
, V. Yarkin, E. Spodarev, O. Bronov, V. Bychenko, A. Marinets, E. Syrkashev, O. Karpov, Evgeny Burnaev, Alexander Bernstein, V. Alferova, Maxim Sharaev:
Knowledge-informed randomized machine learning and data fusion for anomaly areas detection in multimodal 3D images. Inf. Sci. 686: 121354 (2025)- [j42]Svetlana Illarionova, Rifat A. Hamoudi, M. Zapevalina, I. Fedin, N. Alsahanova, Alexander Bernstein, Evgeny Burnaev, V. Alferova, Ekaterina Khrameeva, D. Shadrin, I. Talaat, A. Bouridane, Maxim Sharaev:
A hierarchical algorithm with randomized learning for robust tissue segmentation and classification in digital pathology. Inf. Sci. 686: 121358 (2025) - 2024
- [j41]Igor Udovichenko, Egor Shvetsov, Denis Divitsky, Dmitry Osin, Ilya Trofimov, Ivan Sukharev, Anatoliy Glushenko, Dmitry Berestnev, Evgeny Burnaev:
SeqNAS: Neural Architecture Search for Event Sequence Classification. IEEE Access 12: 3898-3909 (2024) - [j40]Egor Shvetsov, Dmitry Osin, Alexey Zaytsev, Ivan Koryakovskiy, Valentin Buchnev, Ilya Trofimov, Evgeny Burnaev:
QuantNAS for Super Resolution: Searching for Efficient Quantization-Friendly Architectures Against Quantization Noise. IEEE Access 12: 117008-117025 (2024) - [j39]Aleksandr Safin, Maxim Kan, Nikita Drobyshev, Oleg Voynov, Alexey Artemov, Alexander Filippov, Denis Zorin, Evgeny Burnaev:
Unpaired Depth Super-Resolution in the Wild. IEEE Access 12: 123322-123338 (2024) - [j38]Polina Pilyugina, Svetlana Medvedeva, Kirill Mosievich, Ilya Trofimov, Alina Kostromina, Dmitry Simakov, Evgeny Burnaev:
A Large-Scale Empirical Study of Aligned Time Series Forecasting. IEEE Access 12: 131100-131121 (2024) - [j37]Viktor Rakhmatulin, Miguel Altamirano Cabrera, Andrei Puchkov, Evgeny Burnaev, Dzmitry Tsetserukou:
Pose estimation in robotic electric vehicle plug-in charging tasks using auto-annotation and deep learning-based keypoint detector. Eng. Appl. Artif. Intell. 133: 108455 (2024) - [c127]Ilya Trofimov, Daria Voronkova, Eduard Tulchinskii, Evgeny Burnaev, Serguei Barannikov:
Scalar Function Topology Divergence: Comparing Topology of 3D Objects. ECCV (88) 2024: 274-290 - [c126]Arip Asadulaev, Alexander Korotin, Vage Egiazarian, Petr Mokrov, Evgeny Burnaev:
Neural Optimal Transport with General Cost Functionals. ICLR 2024 - [c125]Alexander Korotin, Nikita Gushchin, Evgeny Burnaev:
Light Schrödinger Bridge. ICLR 2024 - [c124]Petr Mokrov, Alexander Korotin, Alexander Kolesov, Nikita Gushchin, Evgeny Burnaev:
Energy-guided Entropic Neural Optimal Transport. ICLR 2024 - [c123]Nikita Balabin, Daria Voronkova, Ilya Trofimov, Evgeny Burnaev, Serguei Barannikov:
Disentanglement Learning via Topology. ICML 2024 - [c122]Nikita Gushchin, Sergei Kholkin, Evgeny Burnaev, Alexander Korotin:
Light and Optimal Schrödinger Bridge Matching. ICML 2024 - [c121]Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena Gazdieva, Gudmund Pammer, Evgeny Burnaev, Alexander Korotin:
Estimating Barycenters of Distributions with Neural Optimal Transport. ICML 2024 - [c120]Sergei Shumilin, Alexander Ryabov, Nikolay B. Yavich, Evgeny Burnaev, Vladimir Vanovskiy:
Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation. ICML 2024 - [i168]Igor Udovichenko, Egor Shvetsov, Denis Divitsky, Dmitry Osin, Ilya Trofimov, Anatoliy Glushenko, Ivan Sukharev, Dmitry Berestnev, Evgeny Burnaev:
SeqNAS: Neural Architecture Search for Event Sequence Classification. CoRR abs/2401.03246 (2024) - [i167]Viktor Moskvoretskii, Dmitry Osin, Egor Shvetsov, Igor Udovichenko, Maxim Zhelnin, Andrey Dukhovny, Anna Zhimerikina, Albert Efimov, Evgeny Burnaev:
Self-Supervised Learning in Event Sequences: A Comparative Study and Hybrid Approach of Generative Modeling and Contrastive Learning. CoRR abs/2401.15935 (2024) - [i166]Nikita Gushchin, Sergei Kholkin, Evgeny Burnaev, Alexander Korotin:
Light and Optimal Schrödinger Bridge Matching. CoRR abs/2402.03207 (2024) - [i165]Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena Gazdieva, Gudmund Pammer, Evgeny Burnaev, Alexander Korotin:
Estimating Barycenters of Distributions with Neural Optimal Transport. CoRR abs/2402.03828 (2024) - [i164]Nikita Gushchin, Daniil Selikhanovych, Sergei Kholkin, Evgeny Burnaev, Alexander Korotin:
Adversarial Schrödinger Bridge Matching. CoRR abs/2405.14449 (2024) - [i163]Savva Ignatyev, Nina Konovalova, Daniil Selikhanovych, Nikolay Patakin, Oleg Voynov, Dmitry Senushkin, Alexander Filippov, Anton Konushin, Peter Wonka, Evgeny Burnaev:
A3D: Does Diffusion Dream about 3D Alignment? CoRR abs/2406.15020 (2024) - [i162]Petr Anokhin, Nikita Semenov, Artyom Y. Sorokin, Dmitry Evseev, Mikhail Burtsev, Evgeny Burnaev:
AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents. CoRR abs/2407.04363 (2024) - [i161]Ilya Trofimov, Daria Voronkova, Eduard Tulchinskii, Evgeny Burnaev, Serguei Barannikov:
Scalar Function Topology Divergence: Comparing Topology of 3D Objects. CoRR abs/2407.08364 (2024) - [i160]Maxim Zhelnin, Viktor Moskvoretskii, Egor Shvetsov, Egor Venediktov, Mariya Krylova, Aleksandr Zuev, Evgeny Burnaev:
GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMs. CoRR abs/2408.15300 (2024) - [i159]Eduard Tulchinskii, Laida Kushnareva, Kristian Kuznetsov, Anastasia Voznyuk, Andrei Andriiainen, Irina Piontkovskaya, Evgeny Burnaev, Serguei Barannikov:
Listening to the Wise Few: Select-and-Copy Attention Heads for Multiple-Choice QA. CoRR abs/2410.02343 (2024) - [i158]Sergei Kholkin, Grigoriy Ksenofontov, David Li, Nikita Kornilov, Nikita Gushchin, Evgeny Burnaev, Alexander Korotin:
Diffusion & Adversarial Schrödinger Bridges via Iterative Proportional Markovian Fitting. CoRR abs/2410.02601 (2024) - [i157]Mikhail Persiianov, Arip Asadulaev, Nikita Andreev, Nikita Starodubcev, Dmitry Baranchuk, Anastasis Kratsios, Evgeny Burnaev, Alexander Korotin:
Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization. CoRR abs/2410.02628 (2024) - [i156]Dmitry Osin, Igor Udovichenko, Viktor Moskvoretskii, Egor Shvetsov, Evgeny Burnaev:
EBES: Easy Benchmarking for Event Sequences. CoRR abs/2410.03399 (2024) - [i155]Arip Asadulaev, Rostislav Korst, Alexander Korotin, Vage Egiazarian, Andrey Filchenkov, Evgeny Burnaev:
Rethinking Optimal Transport in Offline Reinforcement Learning. CoRR abs/2410.14069 (2024) - [i154]Stefan Maria Ailuro, Anna Nedorubova, Timofey Grigoryev, Evgeny Burnaev, Vladimir Vanovskiy:
Data-Driven Uncertainty-Aware Forecasting of Sea Ice Conditions in the Gulf of Ob Based on Satellite Radar Imagery. CoRR abs/2410.19782 (2024) - 2023
- [j36]Ilya Trofimov, Nikita Klyuchnikov, Mikhail Salnikov, Alexander Filippov, Evgeny Burnaev:
Multi-Fidelity Neural Architecture Search With Knowledge Distillation. IEEE Access 11: 59217-59225 (2023) - [j35]Islombek Mirpulatov, Svetlana Illarionova, Dmitrii Shadrin, Evgeny Burnaev:
Pseudo-Labeling Approach for Land Cover Classification Through Remote Sensing Observations With Noisy Labels. IEEE Access 11: 82570-82583 (2023) - [j34]Egor Burkov, Ruslan Rakhimov, Aleksandr Safin, Evgeny Burnaev, Victor Lempitsky:
Multi-NeuS: 3D Head Portraits From Single Image With Neural Implicit Functions. IEEE Access 11: 95681-95691 (2023) - [j33]Andrey Lange, Dmitry Smolyakov, Evgeny Burnaev:
Sequential Minimal Optimization Algorithm for One-Class Support Vector Machines With Privileged Information. IEEE Access 11: 128106-128124 (2023) - [j32]M. O. Zubrikhina, O. V. Abramova, V. E. Yarkin, Vadim L. Ushakov, A. G. Ochneva, A. V. Bernstein, Evgeny V. Burnaev, Denis S. Andreyuk, V. B. Savilov, M. V. Kurmishev, T. S. Syunyakov, O. A. Karpenko, A. V. Andryushchenko, G. P. Kostyuk, M. G. Sharaev:
Machine learning approaches to mild cognitive impairment detection based on structural MRI data and morphometric features. Cogn. Syst. Res. 78: 87-95 (2023) - [j31]Filipp Skomorokhov, Jun Wang, George V. Ovchinnikov, Evgeny Burnaev, Ivan V. Oseledets:
An event-triggered iteratively reweighted convex optimization approach to multi-period portfolio selection. Expert Syst. Appl. 216: 119427 (2023) - [j30]Anton Smerdov, Andrey Somov, Evgeny Burnaev, Anton Stepanov:
AI-enabled prediction of video game player performance using the data from heterogeneous sensors. Multim. Tools Appl. 82(7): 11021-11046 (2023) - [j29]Svetlana Illarionova, Dmitrii Shadrin, Islomjon Shukhratov, Ksenia Evteeva, Georgii Popandopulo, Nazar Sotiriadi, Ivan V. Oseledets, Evgeny Burnaev:
Benchmark for Building Segmentation on Up-Scaled Sentinel-2 Imagery. Remote. Sens. 15(9): 2347 (2023) - [j28]Georgii Popandopulo, Svetlana Illarionova, Dmitrii Shadrin, Ksenia Evteeva, Nazar Sotiriadi, Evgeny Burnaev:
Flood Extent and Volume Estimation Using Remote Sensing Data. Remote. Sens. 15(18): 4463 (2023) - [c119]Andreea Dogaru, Andrei-Timotei Ardelean, Savva Ignatyev, Egor Zakharov, Evgeny Burnaev:
Sphere-Guided Training of Neural Implicit Surfaces. CVPR 2023: 20844-20853 - [c118]Oleg Voynov, Gleb Bobrovskikh, Pavel A. Karpyshev, Saveliy Galochkin, Andrei-Timotei Ardelean, Arseniy Bozhenko, Ekaterina Karmanova, Pavel Kopanev, Yaroslav Labutin-Rymsho, Ruslan Rakhimov, Aleksandr Safin, Valerii Serpiva, Alexey Artemov, Evgeny Burnaev, Dzmitry Tsetserukou, Denis Zorin:
Multi-Sensor Large-Scale Dataset for Multi-View 3D Reconstruction. CVPR 2023: 21392-21403 - [c117]Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev:
Neural Optimal Transport. ICLR 2023 - [c116]Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev:
Kernel Neural Optimal Transport. ICLR 2023 - [c115]Ilya Trofimov, Daniil Cherniavskii, Eduard Tulchinskii, Nikita Balabin, Evgeny Burnaev, Serguei Barannikov:
Learning topology-preserving data representations. ICLR 2023 - [c114]Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Serguei Barannikov, Irina Piontkovskaya, Sergey I. Nikolenko, Evgeny Burnaev:
Topological Data Analysis for Speech Processing. INTERSPEECH 2023: 311-315 - [c113]Milena Gazdieva, Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev:
Extremal Domain Translation with Neural Optimal Transport. NeurIPS 2023 - [c112]Nikita Gushchin, Alexander Kolesov, Alexander Korotin, Dmitry P. Vetrov, Evgeny Burnaev:
Entropic Neural Optimal Transport via Diffusion Processes. NeurIPS 2023 - [c111]Nikita Gushchin, Alexander Kolesov, Petr Mokrov, Polina Karpikova, Andrei Spiridonov, Evgeny Burnaev, Alexander Korotin:
Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark. NeurIPS 2023 - [c110]Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Sergey I. Nikolenko, Evgeny Burnaev, Serguei Barannikov, Irina Piontkovskaya:
Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts. NeurIPS 2023 - [i153]Evgenii Kanin, A. A. Garipova, Sergei Boronin, V. V. Vanovsky, Albert L. Vainshtein, A. A. Afanasyev, Andrei Osiptsov, Evgeny V. Burnaev:
Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements. CoRR abs/2301.02585 (2023) - [i152]Milena Gazdieva, Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev:
Extremal Domain Translation with Neural Optimal Transport. CoRR abs/2301.12874 (2023) - [i151]Ilya Trofimov, Daniil Cherniavskii, Eduard Tulchinskii, Nikita Balabin, Evgeny Burnaev, Serguei Barannikov:
Learning Topology-Preserving Data Representations. CoRR abs/2302.00136 (2023) - [i150]Vladislav Zhuzhel, Vsevolod Grabar, Galina Boeva, Artem Zabolotnyi, Alexander Stepikin, Vladimir Zholobov, Maria Ivanova, Mikhail Orlov, Ivan Kireev, Evgeny Burnaev, Rodrigo Rivera-Castro, Alexey Zaytsev:
Continuous-time convolutions model of event sequences. CoRR abs/2302.06247 (2023) - [i149]Elizaveta Kovtun, Galina Boeva, Artem Zabolotnyi, Evgeny Burnaev, Martin Spindler, Alexey Zaytsev:
Label Attention Network for sequential multi-label classification: you were looking at a wrong self-attention. CoRR abs/2303.00280 (2023) - [i148]Maksim Nekrashevich, Alexander Korotin, Evgeny Burnaev:
Neural Gromov-Wasserstein Optimal Transport. CoRR abs/2303.05978 (2023) - [i147]Milena Gazdieva, Alexander Korotin, Evgeny Burnaev:
Partial Neural Optimal Transport. CoRR abs/2303.07988 (2023) - [i146]Petr Mokrov, Alexander Korotin, Evgeny Burnaev:
Energy-guided Entropic Neural Optimal Transport. CoRR abs/2304.06094 (2023) - [i145]Yue Fan, Ivan Skorokhodov, Oleg Voynov, Savva Ignatyev, Evgeny Burnaev, Peter Wonka, Yiqun Wang:
Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects. CoRR abs/2305.17929 (2023) - [i144]Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Serguei Barannikov, Irina Piontkovskaya, Sergey I. Nikolenko, Evgeny Burnaev:
Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts. CoRR abs/2306.04723 (2023) - [i143]Nikita Gushchin, Alexander Kolesov, Petr Mokrov, Polina Karpikova, Andrei Spiridonov, Evgeny Burnaev, Alexander Korotin:
Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark. CoRR abs/2306.10161 (2023) - [i142]Dmitrii Gavrilev, Evgeny Burnaev:
Anomaly Detection in Networks via Score-Based Generative Models. CoRR abs/2306.15324 (2023) - [i141]Nikita Balabin, Daria Voronkova, Ilya Trofimov, Evgeny Burnaev, Serguei Barannikov:
Disentanglement Learning via Topology. CoRR abs/2308.12696 (2023) - [i140]Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena Gazdieva, Gudmund Pammer, Evgeny Burnaev, Alexander Korotin:
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs. CoRR abs/2310.01105 (2023) - [i139]Alexander Korotin, Nikita Gushchin, Evgeny Burnaev:
Light Schrödinger Bridge. CoRR abs/2310.01174 (2023) - [i138]Diana Koldasbayeva, Polina Tregubova, Mikhail Gasanov, Alexey Zaytsev, Anna Petrovskaia, Evgeny Burnaev:
Challenges in data-based geospatial modeling for environmental research and practice. CoRR abs/2311.11057 (2023) - [i137]Natalia Soboleva, Olga Gorbunova, Maria Ivanova, Evgeny Burnaev, Matthias Nießner, Denis Zorin, Alexey Artemov:
PRS: Sharp Feature Priors for Resolution-Free Surface Remeshing. CoRR abs/2311.18494 (2023) - [i136]Savva Ignatyev, Daniil Selikhanovych, Oleg Voynov, Yiqun Wang, Peter Wonka, Stamatios Lefkimmiatis, Evgeny Burnaev:
NeuSD: Surface Completion with Multi-View Text-to-Image Diffusion. CoRR abs/2312.04654 (2023) - [i135]Sergei Shumilin, Alexander Ryabov, Evgeny Burnaev, Vladimir Vanovskiý:
A Method for Auto-Differentiation of the Voronoi Tessellation. CoRR abs/2312.16192 (2023) - 2022
- [j27]Ivan Fursov, Alexey Zaytsev, Pavel Burnyshev, Ekaterina Dmitrieva, Nikita Klyuchnikov, Andrey Kravchenko, Ekaterina Artemova, Evgenia Komleva, Evgeny Burnaev:
A Differentiable Language Model Adversarial Attack on Text Classifiers. IEEE Access 10: 17966-17976 (2022) - [j26]Ivan Fursov, Elizaveta Kovtun, Rodrigo Rivera-Castro, Alexey Zaytsev, Rasul Khasyanov, Martin Spindler, Evgeny Burnaev:
Sequence Embeddings Help Detect Insurance Fraud. IEEE Access 10: 32060-32074 (2022) - [j25]Olga Tsymboi, Yermek Kapushev, Evgeny Burnaev, Ivan V. Oseledets:
Denoising Score Matching via Random Fourier Features. IEEE Access 10: 34154-34169 (2022) - [j24]Nikita Klyuchnikov, Ilya Trofimov, Ekaterina Artemova, Mikhail Salnikov, Maxim V. Fedorov, Alexander Filippov, Evgeny Burnaev:
NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing. IEEE Access 10: 45736-45747 (2022) - [j23]Artem Mikhaylov, Nina Mazyavkina, Mikhail Salnikov, Ilya Trofimov, Fu Qiang, Evgeny Burnaev:
Learned Query Optimizers: Evaluation and Improvement. IEEE Access 10: 75205-75218 (2022) - [j22]Valentina Bachurina, Svetlana Sushchinskaya, Maxim Sharaev, Evgeny Burnaev, Marie Arsalidou:
A machine learning investigation of factors that contribute to predicting cognitive performance: Difficulty level, reaction time and eye-movements. Decis. Support Syst. 155: 113713 (2022) - [j21]Roman Kail, Evgeny Burnaev, Alexey Zaytsev:
Recurrent Convolutional Neural Networks Help to Predict Location of Earthquakes. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j20]Timofey Grigoryev, Polina Verezemskaya, Mikhail Krinitskiy, Nikita Anikin, Alexander Gavrikov, Ilya Trofimov, Nikita Balabin, Aleksei Shpilman, Andrei Eremchenko, Sergey Gulev, Evgeny Burnaev, Vladimir Vanovskiy:
Data-Driven Short-Term Daily Operational Sea Ice Regional Forecasting. Remote. Sens. 14(22): 5837 (2022) - [j19]Svetlana Illarionova, Dmitrii Shadrin, Polina Tregubova, Vladimir Ignatiev, Albert Efimov, Ivan V. Oseledets, Evgeny Burnaev:
A Survey of Computer Vision Techniques for Forest Characterization and Carbon Monitoring Tasks. Remote. Sens. 14(22): 5861 (2022) - [j18]Simon Abramov, Alexander Korotin, Andrey Somov, Evgeny Burnaev, Anton Stepanov, Dmitry Nikolaev, Maria A. Titova:
Analysis of Video Game Players' Emotions and Team Performance: An Esports Tournament Case Study. IEEE J. Biomed. Health Informatics 26(8): 3597-3606 (2022) - [j17]Yuefan Shen, Hongbo Fu, Zhongshuo Du, Xiang Chen, Evgeny Burnaev, Denis Zorin, Kun Zhou, Youyi Zheng:
GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks. ACM Trans. Graph. 41(1): 8:1-8:14 (2022) - [j16]Albert Matveev, Ruslan Rakhimov, Alexey Artemov, Gleb Bobrovskikh, Vage Egiazarian, Emil Bogomolov, Daniele Panozzo, Denis Zorin, Evgeny Burnaev:
DEF: deep estimation of sharp geometric features in 3D shapes. ACM Trans. Graph. 41(4): 108:1-108:22 (2022) - [c109]Ilya Shashkov, Alexey Zaytsev, Nikita Balabin, Evgeny Burnaev:
Transfer learning for ensembles: reducing computation time and keeping the diversity. AIPR 2022: 8-13 - [c108]Ruslan Rakhimov, Andrei-Timotei Ardelean, Victor Lempitsky, Evgeny Burnaev:
NPBG++: Accelerating Neural Point-Based Graphics. CVPR 2022: 15948-15958 - [c107]Daniil Cherniavskii, Eduard Tulchinskii, Vladislav Mikhailov, Irina Proskurina, Laida Kushnareva, Ekaterina Artemova, Serguei Barannikov, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev:
Acceptability Judgements via Examining the Topology of Attention Maps. EMNLP (Findings) 2022: 88-107 - [c106]Litu Rout, Alexander Korotin, Evgeny Burnaev:
Generative Modeling with Optimal Transport Maps. ICLR 2022 - [c105]Serguei Barannikov, Ilya Trofimov, Nikita Balabin, Evgeny Burnaev:
Representation Topology Divergence: A Method for Comparing Neural Network Representations. ICML 2022: 1607-1626 - [c104]Maria Zubrikhina, Dmitrii Masnyi, Rifat Hamoudi, Hamid Alhaj, Bashar Issa, Almira Kustubaeva, Altyngul T. Kamzanova, Manzura Zholdassova, Alexander Bernstein, Evgeny Burnaev, Alexey Artemov, Maxim Sharaev:
Autoencoders with deformable convolutions for latent representation of EEG spectrograms in classification tasks. ICMV 2022 - [c103]Alexander Korotin, Vage Egiazarian, Lingxiao Li, Evgeny Burnaev:
Wasserstein Iterative Networks for Barycenter Estimation. NeurIPS 2022 - [c102]Alexander Korotin, Alexander Kolesov, Evgeny Burnaev:
Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport? NeurIPS 2022 - [c101]Milena Gazdieva, Oleg Voynov, Alexey Artemov, Youyi Zheng, Luiz Velho, Evgeny Burnaev:
Can We Use Neural Regularization to Solve Depth Super-resolution? VISIGRAPP (4: VISAPP) 2022: 582-590 - [c100]Alexandr Notchenko, Vladislav Ishimtsev, Alexey Artemov, Vadim Selyutin, Emil Bogomolov, Evgeny Burnaev:
Scan2Part: Fine-grained and Hierarchical Part-level Understanding of Real-World 3D Scans. VISIGRAPP (5: VISAPP) 2022: 711-722 - [e2]Evgeny Burnaev, Dmitry I. Ignatov, Sergei Ivanov, Michael Yu. Khachay, Olessia Koltsova, Andrei Kutuzov, Sergei O. Kuznetsov, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Jari Saramäki, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina:
Recent Trends in Analysis of Images, Social Networks and Texts - 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16-18, 2021, Revised Supplementary Proceedings. Communications in Computer and Information Science 1573, Springer 2022, ISBN 978-3-031-15167-5 [contents] - [e1]Evgeny Burnaev, Dmitry I. Ignatov, Sergei Ivanov, Michael Yu. Khachay, Olessia Koltsova, Andrei Kutuzov, Sergei O. Kuznetsov, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Jari Saramäki, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina:
Analysis of Images, Social Networks and Texts - 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16-18, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13217, Springer 2022, ISBN 978-3-031-16499-6 [contents] - [i134]Serguei Barannikov, Ilya Trofimov, Nikita Balabin, Evgeny Burnaev:
Representation Topology Divergence: A Method for Comparing Neural Network Representations. CoRR abs/2201.00058 (2022) - [i133]Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev:
Neural Optimal Transport. CoRR abs/2201.12220 (2022) - [i132]Alexander Korotin, Vage Egiazarian, Lingxiao Li, Evgeny Burnaev:
Wasserstein Iterative Networks for Barycenter Estimation. CoRR abs/2201.12245 (2022) - [i131]Milena Gazdieva, Litu Rout, Alexander Korotin, Alexander Filippov, Evgeny Burnaev:
Unpaired Image Super-Resolution with Optimal Transport Maps. CoRR abs/2202.01116 (2022) - [i130]Oleg Voynov, Gleb Bobrovskikh, Pavel A. Karpyshev, Andrei-Timotei Ardelean, Arseniy Bozhenko, Saveliy Galochkin, Ekaterina Karmanova, Pavel Kopanev, Yaroslav Labutin-Rymsho, Ruslan Rakhimov, Aleksandr Safin, Valerii Serpiva, Alexey Artemov, Evgeny Burnaev, Dzmitry Tsetserukou, Denis Zorin:
Multi-sensor large-scale dataset for multi-view 3D reconstruction. CoRR abs/2203.06111 (2022) - [i129]Ruslan Rakhimov, Andrei-Timotei Ardelean, Victor Lempitsky, Evgeny Burnaev:
NPBG++: Accelerating Neural Point-Based Graphics. CoRR abs/2203.13318 (2022) - [i128]Dmitrii Gavrilev, Nurlybek Amangeldiuly, Sergei Ivanov, Evgeny Burnaev:
High Performance of Gradient Boosting in Binding Affinity Prediction. CoRR abs/2205.07023 (2022) - [i127]Daniil Cherniavskii, Eduard Tulchinskii, Vladislav Mikhailov, Irina Proskurina, Laida Kushnareva, Ekaterina Artemova, Serguei Barannikov, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev:
Acceptability Judgements via Examining the Topology of Attention Maps. CoRR abs/2205.09630 (2022) - [i126]Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev:
Kernel Neural Optimal Transport. CoRR abs/2205.15269 (2022) - [i125]Arip Asadulaev, Alexander Korotin, Vage Egiazarian, Evgeny Burnaev:
Neural Optimal Transport with General Cost Functionals. CoRR abs/2205.15403 (2022) - [i124]Alexandr Notchenko, Vladislav Ishimtsev, Alexey Artemov, Vadim Selyutin, Emil Bogomolov, Evgeny Burnaev:
Scan2Part: Fine-grained and Hierarchical Part-level Understanding of Real-World 3D Scans. CoRR abs/2206.02366 (2022) - [i123]Alexander Korotin, Alexander Kolesov, Evgeny Burnaev:
Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport? CoRR abs/2206.07767 (2022) - [i122]Gleb Bazhenov, Sergei Ivanov, Maxim Panov, Alexey Zaytsev, Evgeny Burnaev:
Towards OOD Detection in Graph Classification from Uncertainty Estimation Perspective. CoRR abs/2206.10691 (2022) - [i121]Ilya Shashkov, Nikita Balabin, Evgeny Burnaev, Alexey Zaytsev:
Transfer learning for ensembles: reducing computation time and keeping the diversity. CoRR abs/2206.13116 (2022) - [i120]Egor Shvetsov, Dmitry Osin, Alexey Zaytsev, Ivan Koryakovskiy, Valentin Buchnev, Ilya Trofimov, Evgeny Burnaev:
QuantNAS for super resolution: searching for efficient quantization-friendly architectures against quantization noise. CoRR abs/2208.14839 (2022) - [i119]Egor Burkov, Ruslan Rakhimov, Aleksandr Safin, Evgeny Burnaev, Victor Lempitsky:
Multi-NeuS: 3D Head Portraits from Single Image with Neural Implicit Functions. CoRR abs/2209.04436 (2022) - [i118]Andreea Dogaru, Andrei-Timotei Ardelean, Savva Ignatyev, Evgeny Burnaev, Egor Zakharov:
Sphere-Guided Training of Neural Implicit Surfaces. CoRR abs/2209.15511 (2022) - [i117]Timofey Grigoryev, Polina Verezemskaya, Mikhail Krinitskiy, Nikita Anikin, Alexander Gavrikov, Ilya Trofimov, Nikita Balabin, Aleksei Shpilman, Andrei Eremchenko, Sergey Gulev, Evgeny Burnaev, Vladimir Vanovskiy:
Data-Driven Short-Term Daily Operational Sea Ice Regional Forecasting. CoRR abs/2210.08877 (2022) - [i116]Nikita Gushchin, Alexander Kolesov, Alexander Korotin, Dmitry P. Vetrov, Evgeny Burnaev:
Entropic Neural Optimal Transport via Diffusion Processes. CoRR abs/2211.01156 (2022) - [i115]Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Serguei Barannikov, Irina Piontkovskaya, Sergey I. Nikolenko, Evgeny Burnaev:
Topological Data Analysis for Speech Processing. CoRR abs/2211.17223 (2022) - 2021
- [j15]Nina Mazyavkina, Sergey Sviridov, Sergei Ivanov, Evgeny Burnaev:
Reinforcement learning for combinatorial optimization: A survey. Comput. Oper. Res. 134: 105400 (2021) - [j14]Anton Smerdov, Andrey Somov, Evgeny Burnaev, Bo Zhou, Paul Lukowicz:
Detecting Video Game Player Burnout With the Use of Sensor Data and Machine Learning. IEEE Internet Things J. 8(22): 16680-16691 (2021) - [j13]Alexander Korotin, Vladimir V'yugin, Evgeny Burnaev:
Mixability of integral losses: A key to efficient online aggregation of functional and probabilistic forecasts. Pattern Recognit. 120: 108175 (2021) - [c99]Albert Matveev, Alexey Artemov, Denis Zorin, Evgeny Burnaev:
3D Parametric Wireframe Extraction Based on Distance Fields. AIPR 2021: 316-322 - [c98]Alexey Bokhovkin, Vladislav Ishimtsev, Emil Bogomolov, Denis Zorin, Alexey Artemov, Evgeny Burnaev, Angela Dai:
Towards Part-Based Understanding of RGB-D Scans. CVPR 2021: 7484-7494 - [c97]Rodrigo Rivera-Castro, Evgeny Burnaev:
CAUSALYSIS: Causal Machine Learning for Real-Estate Investment Decisions. DSAA 2021: 1-3 - [c96]Laida Kushnareva, Daniil Cherniavskii, Vladislav Mikhailov, Ekaterina Artemova, Serguei Barannikov, Alexander Bernstein, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev:
Artificial Text Detection via Examining the Topology of Attention Maps. EMNLP (1) 2021: 635-649 - [c95]Alexander Korotin, Vage Egiazarian, Arip Asadulaev, Alexander Safin, Evgeny Burnaev:
Wasserstein-2 Generative Networks. ICLR 2021 - [c94]Alexander Korotin, Lingxiao Li, Justin Solomon, Evgeny Burnaev:
Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization. ICLR 2021 - [c93]Serguei Barannikov, Evgeny Burnaev:
Homological assessment of data representations. ICMV 2021: 120840C - [c92]Yermek Kapushev, Anastasia Kishkun, Gonzalo Ferrer, Evgeny Burnaev:
Random Fourier Features based SLAM. IROS 2021: 6597-6602 - [c91]Ivan Fursov, Matvey Morozov, Nina Kaploukhaya, Elizaveta Kovtun, Rodrigo Rivera-Castro, Gleb Gusev, Dmitry Babaev, Ivan Kireev, Alexey Zaytsev, Evgeny Burnaev:
Adversarial Attacks on Deep Models for Financial Transaction Records. KDD 2021: 2868-2878 - [c90]Serguei Barannikov, Ilya Trofimov, Grigorii Sotnikov, Ekaterina Trimbach, Alexander Korotin, Alexander Filippov, Evgeny Burnaev:
Manifold Topology Divergence: a Framework for Comparing Data Manifolds. NeurIPS 2021: 7294-7305 - [c89]Alexander Korotin, Lingxiao Li, Aude Genevay, Justin M. Solomon, Alexander Filippov, Evgeny Burnaev:
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark. NeurIPS 2021: 14593-14605 - [c88]Petr Mokrov, Alexander Korotin, Lingxiao Li, Aude Genevay, Justin M. Solomon, Evgeny Burnaev:
Large-Scale Wasserstein Gradient Flows. NeurIPS 2021: 15243-15256 - [c87]Evgenii Egorov, Anna Kuzina, Evgeny Burnaev:
BooVAE: Boosting Approach for Continual Learning of VAE. NeurIPS 2021: 17889-17901 - [c86]Nina Mazyavkina, Samir Mohamed, Ilya Trofimov, Evgeny Burnaev:
Optimizing the Neural Architecture of Reinforcement Learning Agents. SAI (2) 2021: 591-606 - [c85]Ruslan Rakhimov, Denis Volkhonskiy, Alexey Artemov, Denis Zorin, Evgeny Burnaev:
Latent Video Transformer. VISIGRAPP (5: VISAPP) 2021: 101-112 - [c84]Ruslan Rakhimov, Emil Bogomolov, Alexandr Notchenko, Fung Mao, Alexey Artemov, Denis Zorin, Evgeny Burnaev:
Making DensePose fast and light. WACV 2021: 1868-1876 - [i114]Tsimboy Olga, Yermek Kapushev, Evgeny Burnaev, Ivan V. Oseledets:
Denoising Score Matching with Random Fourier Features. CoRR abs/2101.05239 (2021) - [i113]Alexander Korotin, Lingxiao Li, Justin Solomon, Evgeny Burnaev:
Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization. CoRR abs/2102.01752 (2021) - [i112]Vladislav Zhuzhel, Rodrigo Rivera-Castro, Nina Kaploukhaya, Liliya Mironova, Alexey Zaytsev, Evgeny Burnaev:
COHORTNEY: Deep Clustering for Heterogeneous Event Sequences. CoRR abs/2104.01440 (2021) - [i111]Aleksandr Safin, Maxim Kan, Nikita Drobyshev, Oleg Voynov, Alexey Artemov, Alexander Filippov, Denis Zorin, Evgeny Burnaev:
Towards Unpaired Depth Enhancement and Super-Resolution in the Wild. CoRR abs/2105.12038 (2021) - [i110]Petr Mokrov, Alexander Korotin, Lingxiao Li, Aude Genevay, Justin Solomon, Evgeny Burnaev:
Large-Scale Wasserstein Gradient Flows. CoRR abs/2106.00736 (2021) - [i109]Alexander Korotin, Lingxiao Li, Aude Genevay, Justin Solomon, Alexander Filippov, Evgeny Burnaev:
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark. CoRR abs/2106.01954 (2021) - [i108]Serguei Barannikov, Ilya Trofimov, Grigorii Sotnikov, Ekaterina Trimbach, Alexander Korotin, Alexander Filippov, Evgeny Burnaev:
Manifold Topology Divergence: a Framework for Comparing Data Manifolds. CoRR abs/2106.04024 (2021) - [i107]Ivan Fursov, Matvey Morozov, Nina Kaploukhaya, Elizaveta Kovtun, Rodrigo Rivera-Castro, Gleb Gusev, Dmitry Babaev, Ivan Kireev, Alexey Zaytsev, Evgeny Burnaev:
Adversarial Attacks on Deep Models for Financial Transaction Records. CoRR abs/2106.08361 (2021) - [i106]Albert Matveev, Alexey Artemov, Denis Zorin, Evgeny Burnaev:
3D Parametric Wireframe Extraction Based on Distance Fields. CoRR abs/2107.06165 (2021) - [i105]Ivan Fursov, Alexey Zaytsev, Pavel Burnyshev, Ekaterina Dmitrieva, Nikita Klyuchnikov, Andrey Kravchenko, Ekaterina Artemova, Evgeny Burnaev:
A Differentiable Language Model Adversarial Attack on Text Classifiers. CoRR abs/2107.11275 (2021) - [i104]Viktor Duplyakov, Anton D. Morozov, Dmitriy Popkov, Egor V. Shel, Albert L. Vainshtein, Evgeny Burnaev, Andrei Osiptsov, Grigory V. Paderin:
Data-driven model for hydraulic fracturing design optimization. Part II: Inverse problem. CoRR abs/2108.00751 (2021) - [i103]Yuefan Shen, Hongbo Fu, Zhongshuo Du, Xiang Chen, Evgeny Burnaev, Denis Zorin, Kun Zhou, Youyi Zheng:
GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks. CoRR abs/2108.05128 (2021) - [i102]Laida Kushnareva, Daniil Cherniavskii, Vladislav Mikhailov, Ekaterina Artemova, Serguei Barannikov, Alexander Bernstein, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev:
Artificial Text Detection via Examining the Topology of Attention Maps. CoRR abs/2109.04825 (2021) - [i101]Litu Rout, Alexander Korotin, Evgeny Burnaev:
Generative Modeling with Optimal Transport Maps. CoRR abs/2110.02999 (2021) - [i100]Ildar Abdrakhmanov, Evgenii Kanin, Sergei Boronin, Evgeny Burnaev, Andrei Osiptsov:
Development of Deep Transformer-Based Models for Long-Term Prediction of Transient Production of Oil Wells. CoRR abs/2110.06059 (2021) - [i99]Milena Gazdieva, Oleg Voynov, Alexey Artemov, Youyi Zheng, Luiz Velho, Evgeny Burnaev:
Can We Use Neural Regularization to Solve Depth Super-Resolution? CoRR abs/2112.11085 (2021) - 2020
- [j12]Nikita Klyuchnikov, Evgeny Burnaev:
Gaussian process classification for variable fidelity data. Neurocomputing 397: 345-355 (2020) - [j11]Alexander Korotin, Vladimir V'yugin, Evgeny Burnaev:
Adaptive hedging under delayed feedback. Neurocomputing 397: 356-368 (2020) - [j10]Evgenya Romanenkova, Alexey Zaytsev, Nikita Klyuchnikov, Arseniy Gruzdev, Ksenia Antipova, Leyla S. Ismailova, Evgeny Burnaev, Artyom Semenikhin, Vitaliy Koryabkin, Igor Simon, Dmitry A. Koroteev:
Real-Time Data-Driven Detection of the Rock-Type Alteration During a Directional Drilling. IEEE Geosci. Remote. Sens. Lett. 17(11): 1861-1865 (2020) - [j9]Yermek Kapushev, Ivan V. Oseledets, Evgeny Burnaev:
Tensor Completion via Gaussian Process-Based Initialization. SIAM J. Sci. Comput. 42(6): A3812-A3824 (2020) - [c83]Maxim Kan, Ruslan Aliev, Anna Rudenko, Nikita Drobyshev, Nikita Petrashen, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev:
Interpretation of 3D CNNs for Brain MRI Data Classification. AIST (Supplement) 2020: 229-241 - [c82]Evgeny Burnaev:
Bayesian Filtering in a Latent Space to Predict Bank Net Income from Acquiring. AIST 2020: 344-355 - [c81]Ivan Fursov, Alexey Zaytsev, Nikita Kluchnikov, Andrey Kravchenko, Evgeny Burnaev:
Gradient-Based Adversarial Attacks on Categorical Sequence Models via Traversing an Embedded World. AIST 2020: 356-368 - [c80]Albert Matveev, Alexey Artemov, Denis Zorin, Evgeny Burnaev:
Geometric Attention for Prediction of Differential Properties in 3D Point Clouds. ANNPR 2020: 113-124 - [c79]Maria Semenova, Andrey Lange, Denis Koposov, Andrey Somov, Evgeny Burnaev:
Personality Traits and Coping Strategies of eSports Players. BESC 2020: 1-5 - [c78]Ivan Maksimov, Rodrigo Rivera-Castro, Evgeny Burnaev:
Addressing Cold Start in Recommender Systems with Hierarchical Graph Neural Networks. IEEE BigData 2020: 5128-5137 - [c77]Alexander Korotin, Vladimir V'yugin, Evgeny Burnaev:
Mixing past predictions. COPA 2020: 171-188 - [c76]Vage Egiazarian, Oleg Voynov, Alexey Artemov, Denis Volkhonskiy, Aleksandr Safin, Maria Taktasheva, Denis Zorin, Evgeny Burnaev:
Deep Vectorization of Technical Drawings. ECCV (13) 2020: 582-598 - [c75]Vladislav Ishimtsev, Alexey Bokhovkin, Alexey Artemov, Savva Ignatyev, Matthias Nießner, Denis Zorin, Evgeny Burnaev:
CAD-Deform: Deformable Fitting of CAD Models to 3D Scans. ECCV (13) 2020: 599-628 - [c74]Ivan Nazarov, Evgeny Burnaev:
Bayesian Sparsification of Deep C-valued Networks. ICML 2020: 7230-7242 - [c73]Aleksandr Pletnev, Rodrigo Rivera-Castro, Evgeny Burnaev:
Graph Neural Networks for Model Recommendation using Time Series Data. ICMLA 2020: 1534-1541 - [c72]Evgeny Burnaev:
How good MVSNets are at depth fusion. ICMV 2020: 116050G - [c71]Ekaterina Kondrateva, Marina Pominova, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev:
Domain shift in computer vision models for MRI data analysis: an overview. ICMV 2020: 116050H - [c70]Marina Pominova, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev:
Fader networks for domain adaptation on fMRI: ABIDE-II study. ICMV 2020: 116051Z - [c69]Nikita Melentev, Andrey Somov, Evgeny Burnaev, Irina Strelnikova, Galina Strelnikova, Elizaveta Melenteva, Alexander Menshchikov:
eSports Players Professional Level and Tiredness Prediction using EEG and Machine Learning. IEEE SENSORS 2020: 1-4 - [c68]Denis Koposov, Maria Semenova, Andrey Somov, Andrey Lange, Anton Stepanov, Evgeny Burnaev:
Analysis of the Reaction Time of eSports Players through the Gaze Tracking and Personality Trait. ISIE 2020: 1560-1565 - [c67]Alexander Korotin, Anton Stepanov, Andrey Lange, Dmitry Nikolaev, Simon Abramov, Nikita Klyuchnikov, Evgeny Burnaev, Andrey Somov:
Assessment of Video Games Players and Teams Behaviour via Sensing and Heterogeneous Data Analysis: Deployment at an eSports Tournament. SmartCity360° 2020: 409-421 - [c66]Aibek Alanov, Max Kochurov, Denis Volkhonskiy, Daniil Yashkov, Evgeny Burnaev, Dmitry P. Vetrov:
User-controllable Multi-texture Synthesis with Generative Adversarial Networks. VISIGRAPP (4: VISAPP) 2020: 214-221 - [c65]Vage Egiazarian, Savva Ignatyev, Alexey Artemov, Oleg Voynov, Andrey Kravchenko, Youyi Zheng, Luiz Velho, Evgeny Burnaev:
Latent-space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds. VISIGRAPP (4: VISAPP) 2020: 421-428 - [c64]Ivan Barabanau, Alexey Artemov, Evgeny Burnaev, Vyacheslav Murashkin:
Monocular 3D Object Detection via Geometric Reasoning on Keypoints. VISIGRAPP (5: VISAPP) 2020: 652-659 - [i98]Nina Mazyavkina, Sergei Sviridov, Sergei Ivanov, Evgeny Burnaev:
Reinforcement Learning for Combinatorial Optimization: A Survey. CoRR abs/2003.03600 (2020) - [i97]Ivan Fursov, Alexey Zaytsev, Nikita Kluchnikov, Andrey Kravchenko, Evgeny Burnaev:
Gradient-based adversarial attacks on categorical sequence models via traversing an embedded world. CoRR abs/2003.04173 (2020) - [i96]Vage Egiazarian, Oleg Voynov, Alexey Artemov, Denis Volkhonskiy, Aleksandr Safin, Maria Taktasheva, Denis Zorin, Evgeny Burnaev:
Deep Vectorization of Technical Drawings. CoRR abs/2003.05471 (2020) - [i95]Dmitrii Smolyakov, Evgeny Burnaev:
Software System for Road Condition Forecast Correction. CoRR abs/2003.09957 (2020) - [i94]Ekaterina Artemova, Amir Bakarov, Aleksey Artemov, Evgeny Burnaev, Maxim Sharaev:
Data-driven models and computational tools for neurolinguistics: a language technology perspective. CoRR abs/2003.10540 (2020) - [i93]Ivan Nazarov, Evgeny Burnaev:
Bayesian Sparsification Methods for Deep Complex-valued Networks. CoRR abs/2003.11413 (2020) - [i92]Roman Kail, Alexey Zaytsev, Evgeny Burnaev:
Recurrent Convolutional Neural Networks help to predict location of Earthquakes. CoRR abs/2004.09140 (2020) - [i91]Nikita Klyuchnikov, Ilya Trofimov, Ekaterina Artemova, Mikhail Salnikov, Maxim V. Fedorov, Evgeny Burnaev:
NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing. CoRR abs/2006.07116 (2020) - [i90]Ilya Trofimov, Nikita Klyuchnikov, Mikhail Salnikov, Alexander Filippov, Evgeny Burnaev:
Multi-fidelity Neural Architecture Search with Knowledge Distillation. CoRR abs/2006.08341 (2020) - [i89]Ruslan Rakhimov, Denis Volkhonskiy, Alexey Artemov, Denis Zorin, Evgeny Burnaev:
Latent Video Transformer. CoRR abs/2006.10704 (2020) - [i88]Ivan Fursov, Alexey Zaytsev, Nikita Kluchnikov, Andrey Kravchenko, Eugeny Burnaev:
Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers. CoRR abs/2006.11078 (2020) - [i87]Ruslan Rakhimov, Emil Bogomolov, Alexandr Notchenko, Fung Mao, Alexey Artemov, Denis Zorin, Evgeny Burnaev:
Making DensePose fast and light. CoRR abs/2006.15190 (2020) - [i86]Maxim Kan, Ruslan Aliev, Anna Rudenko, Nikita Drobyshev, Nikita Petrashen, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev:
Interpretable Deep Learning for Pattern Recognition in Brain Differences Between Men and Women. CoRR abs/2006.15969 (2020) - [i85]Albert Matveev, Alexey Artemov, Denis Zorin, Evgeny Burnaev:
Geometric Attention for Prediction of Differential Properties in 3D Point Clouds. CoRR abs/2007.02571 (2020) - [i84]Max Kochurov, Sergey Ivanov, Eugeny Burnaev:
Are Hyperbolic Representations in Graphs Created Equal? CoRR abs/2007.07698 (2020) - [i83]Vladislav Ishimtsev, Alexey Bokhovkin, Alexey Artemov, Savva Ignatyev, Matthias Nießner, Denis Zorin, Evgeny Burnaev:
CAD-Deform: Deformable Fitting of CAD Models to 3D Scans. CoRR abs/2007.11965 (2020) - [i82]Aiusha Sangadiev, Rodrigo Rivera-Castro, Kirill Stepanov, Andrey Poddubny, Kirill Bubenchikov, Nikita Bekezin, Polina Pilyugina, Evgeny Burnaev:
DeepFolio: Convolutional Neural Networks for Portfolios with Limit Order Book Data. CoRR abs/2008.12152 (2020) - [i81]Rodrigo Rivera-Castro, Polina Pilyugina, Evgeny Burnaev:
Topological Data Analysis for Portfolio Management of Cryptocurrencies. CoRR abs/2009.03362 (2020) - [i80]Ivan Maksimov, Rodrigo Rivera-Castro, Evgeny Burnaev:
Addressing Cold Start in Recommender Systems with Hierarchical Graph Neural Networks. CoRR abs/2009.03455 (2020) - [i79]Rodrigo Rivera-Castro, Aleksandr Pletnev, Polina Pilyugina, Grecia Diaz, Ivan Nazarov, Wanyi Zhu, Evgeny Burnaev:
Topology-based Clusterwise Regression for User Segmentation and Demand Forecasting. CoRR abs/2009.03661 (2020) - [i78]Ivan Makhotin, Denis M. Orlov, Dmitry A. Koroteev, Evgeny Burnaev, Aram Karapetyan, Dmitry Antonenko:
Machine learning for recovery factor estimation of an oil reservoir: a tool for de-risking at a hydrocarbon asset evaluation. CoRR abs/2010.03408 (2020) - [i77]Polina Pilyugina, Rodrigo Rivera-Castro, Eugeny Burnaev:
TOTOPO: Classifying univariate and multivariate time series with Topological Data Analysis. CoRR abs/2010.05056 (2020) - [i76]Ekaterina Kondrateva, Marina Pominova, Elena Popova, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev:
Domain Shift in Computer Vision models for MRI data analysis: An Overview. CoRR abs/2010.07222 (2020) - [i75]Marina Pominova, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev:
Fader Networks for domain adaptation on fMRI: ABIDE-II study. CoRR abs/2010.07233 (2020) - [i74]Ruslan Aliev, Ekaterina Kondrateva, Maxim Sharaev, Oleg Bronov, Alexey Marinets, Sergey Subbotin, Alexander Bernstein, Evgeny Burnaev:
Convolutional neural networks for automatic detection of Focal Cortical Dysplasia. CoRR abs/2010.10373 (2020) - [i73]Yermek Kapushev, Anastasia Kishkun, Gonzalo Ferrer, Evgeny Burnaev:
Random Fourier Features based SLAM. CoRR abs/2011.00594 (2020) - [i72]Nina Mazyavkina, Samir Mohamed, Ilya Trofimov, Evgeniy Burnaev:
Optimizing the Neural Architecture of Reinforcement Learning Agents. CoRR abs/2011.14632 (2020) - [i71]Oleg Voynov, Aleksandr Safin, Savva Ignatyev, Evgeny Burnaev:
How Good MVSNets Are at Depth Fusion. CoRR abs/2011.14761 (2020) - [i70]Albert Matveev, Alexey Artemov, Ruslan Rakhimov, Gleb Bobrovskikh, Daniele Panozzo, Denis Zorin, Evgeny Burnaev:
DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes. CoRR abs/2011.15081 (2020) - [i69]Alexey Bokhovkin, Vladislav Ishimtsev, Emil Bogomolov, Denis Zorin, Alexey Artemov, Evgeny Burnaev, Angela Dai:
Towards Part-Based Understanding of RGB-D Scans. CoRR abs/2012.02094 (2020) - [i68]Anton Smerdov, Andrey Somov, Evgeny Burnaev, Bo Zhou, Paul Lukowicz:
Detecting Video Game Player Burnout with the Use of Sensor Data and Machine Learning. CoRR abs/2012.02299 (2020) - [i67]Anton Smerdov, Evgeny Burnaev, Andrey Somov:
AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous Sensors. CoRR abs/2012.03491 (2020) - [i66]Artem Sevastopolsky, Savva Ignatiev, Gonzalo Ferrer, Evgeny Burnaev, Victor Lempitsky:
Relightable 3D Head Portraits from a Smartphone Video. CoRR abs/2012.09963 (2020) - [i65]Serguei Barannikov, Grigorii Sotnikov, Ilya Trofimov, Alexander Korotin, Evgeny Burnaev:
Topological obstructions in neural networks learning. CoRR abs/2012.15834 (2020)
2010 – 2019
- 2019
- [j8]Oleg Sudakov, Evgeny Burnaev, Dmitry A. Koroteev:
Driving digital rock towards machine learning: Predicting permeability with gradient boosting and deep neural networks. Comput. Geosci. 127: 91-98 (2019) - [j7]Nikita Khromov, Alexander Korotin, Andrey Lange, Anton Stepanov, Evgeny Burnaev, Andrey Somov:
Esports Athletes and Players: A Comparative Study. IEEE Pervasive Comput. 18(3): 31-39 (2019) - [c63]Maria Taktasheva, Albert Matveev, Alexey Artemov, Evgeny Burnaev:
Learning to Approximate Directional Fields Defined Over 2D Planes. AIST 2019: 367-374 - [c62]Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, Daniele Panozzo:
ABC: A Big CAD Model Dataset for Geometric Deep Learning. CVPR 2019: 9601-9611 - [c61]Rodrigo Rivera-Castro, Aleksandr Pletnev, Polina Pilyugina, Grecia Diaz, Ivan Nazarov, Wanyi Zhu, Evgeny Burnaev:
Topology-Based Clusterwise Regression for User Segmentation and Demand Forecasting. DSAA 2019: 326-336 - [c60]Polina Proskura, Alexey Zaytsev, I. Braslavsky, Evgenii Egorov, Evgeny Burnaev:
Usage of Multiple RTL Features for Earthquakes Prediction. ICCSA (1) 2019: 556-565 - [c59]Oleg Voynov, Alexey Artemov, Vage Egiazarian, Alexandr Notchenko, Gleb Bobrovskikh, Evgeny Burnaev, Denis Zorin:
Perceptual Deep Depth Super-Resolution. ICCV 2019: 5652-5662 - [c58]Rodrigo Rivera-Castro, Polina Pilyugina, Evgeny Burnaev:
Topological Data Analysis for Portfolio Management of Cryptocurrencies. ICDM Workshops 2019: 238-243 - [c57]ShahRukh Athar, Evgeny Burnaev, Victor S. Lempitsky:
Latent Convolutional Models. ICLR (Poster) 2019 - [c56]Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Ivan Maksimov, Aleksandr Pletnev, Evgeny Burnaev:
An Industry Case of Large-Scale Demand Forecasting of Hierarchical Components. ICMLA 2019: 134-139 - [c55]Sergey Pavlov, Alexey Artemov, Maksim Sharaev, Alexander Bernstein, Evgeny Burnaev:
Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem. ICMLA 2019: 1600-1605 - [c54]Marina Pominova, Ekaterina Kondrateva, Maksim Sharaev, Alexander Bernstein, Sergey Pavlov, Evgeny Burnaev:
3D Deformable Convolutions for MRI Classification. ICMLA 2019: 1710-1716 - [c53]Ekaterina Kondrateva, Polina Belozerova, Maxim Sharaev, Evgeny Burnaev, Alexander Bernstein, Irina Samotaeva:
Machine learning models reproducibility and validation for MR images recognition. ICMV 2019: 114330Z - [c52]Alexander Bernstein, Eugeny Burnaev, Maxim Sharaev, Ekaterina Kondrateva, Oleg Kachan:
Topological data analysis in computer vision. ICMV 2019: 114332H - [c51]Denis Volkhonskiy, Ivan Nazarov, Evgeny Burnaev:
Steganographic generative adversarial networks. ICMV 2019: 114333M - [c50]Anton Stepanov, Andrey Lange, Nikita Khromov, Alexander Korotin, Evgeny Burnaev, Andrey Somov:
Sensors and Game Synchronization for Data Analysis in eSports. INDIN 2019: 933-938 - [c49]Boris B. Velichkovsky, Nikita Khromov, Alexander Korotin, Evgeny Burnaev, Andrey Somov:
Visual Fixations Duration as an Indicator of Skill Level in eSports. INTERACT (1) 2019: 397-405 - [c48]Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Alexander Pletneev, Ivan Maksimov, Evgeny Burnaev:
Demand Forecasting Techniques for Build-to-Order Lean Manufacturing Supply Chains. ISNN (1) 2019: 213-222 - [c47]Oleg Sudakov, Dmitri A. Koroteev, Boris Belozerov, Evgeny Burnaev:
Artificial Neural Network Surrogate Modeling of Oil Reservoir: A Case Study. ISNN (2) 2019: 232-241 - [c46]Dmitry Smolyakov, Nadezda Sviridenko, Vladislav Ishimtsev, Evgeny Burikov, Evgeny Burnaev:
Learning Ensembles of Anomaly Detectors on Synthetic Data. ISNN (2) 2019: 292-306 - [c45]Maria Kolos, Anton Marin, Alexey Artemov, Evgeny Burnaev:
Procedural Synthesis of Remote Sensing Images for Robust Change Detection with Neural Networks. ISNN (2) 2019: 371-387 - [c44]Alexey Bokhovkin, Evgeny Burnaev:
Boundary Loss for Remote Sensing Imagery Semantic Segmentation. ISNN (2) 2019: 388-401 - [c43]Evgenii Egorov, Kirill Neklyudov, Ruslan Kostoev, Evgeny Burnaev:
MaxEntropy Pursuit Variational Inference. ISNN (1) 2019: 409-417 - [c42]Marina Pominova, Anna Kuzina, Ekaterina Kondrateva, Svetlana Sushchinskaya, Evgeny Burnaev, Vyacheslav Yarkin, Maxim Sharaev:
Ensemble of 3D CNN Regressors with Data Fusion for Fluid Intelligence Prediction. ABCD-NP@MICCAI 2019: 158-166 - [c41]Anton Smerdov, Evgeny Burnaev, Andrey Somov:
eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart Chair. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 1768-1775 - [c40]Alexander Korotin, Nikita Khromov, Anton Stepanov, Andrey Lange, Evgeny Burnaev, Andrey Somov:
Towards Understanding of eSports Athletes' Potentialities: The Sensing System for Data Collection and Analysis. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 1804-1810 - [c39]Anton Smerdov, Anastasia Kiskun, Rostislav Shaniiazov, Andrey Somov, Evgeny Burnaev:
Understanding Cyber Athletes Behaviour Through a Smart Chair: CS: GO and Monolith Team Scenario. WF-IoT 2019: 973-978 - [i64]Pavel Temirchev, Maxim Simonov, Ruslan Kostoev, Evgeny Burnaev, Ivan V. Oseledets, Alexey Akhmetov, Andrey Margarit, Alexander Sitnikov, Dmitry A. Koroteev:
Deep Neural Networks Predicting Oil Movement in a Development Unit. CoRR abs/1901.02549 (2019) - [i63]Denis Volkhonskiy, Ekaterina A. Muravleva, Oleg Sudakov, Denis M. Orlov, Boris Belozerov, Evgeny Burnaev, Dmitry A. Koroteev:
Reconstruction of 3D Porous Media From 2D Slices. CoRR abs/1901.10233 (2019) - [i62]Ivan Makhotin, Dmitry A. Koroteev, Evgeny Burnaev:
Gradient Boosting to Boost the Efficiency of Hydraulic Fracturing. CoRR abs/1902.02223 (2019) - [i61]Alexander Korotin, Vladimir V'yugin, Evgeny Burnaev:
Adaptive Hedging under Delayed Feedback. CoRR abs/1902.10433 (2019) - [i60]Evgenya Romanenkova, Alexey Zaytsev, Nikita Klyuchnikov, Arseniy Gruzdev, Ksenia Antipova, Leyla S. Ismailova, Evgeny Burnaev, Artyom Semenikhin, Vitaliy Koryabkin, Igor Simon, Dmitry A. Koroteev:
Real-time data-driven detection of the rock type alteration during a directional drilling. CoRR abs/1903.11436 (2019) - [i59]Aibek Alanov, Max Kochurov, Denis Volkhonskiy, Daniil Yashkov, Evgeny Burnaev, Dmitry P. Vetrov:
User-Controllable Multi-Texture Synthesis with Generative Adversarial Networks. CoRR abs/1904.04751 (2019) - [i58]Ivan Barabanau, Alexey Artemov, Evgeny Burnaev, Vyacheslav Murashkin:
Monocular 3D Object Detection via Geometric Reasoning on Keypoints. CoRR abs/1905.05618 (2019) - [i57]Alexey Bokhovkin, Evgeny Burnaev:
Boundary Loss for Remote Sensing Imagery Semantic Segmentation. CoRR abs/1905.07852 (2019) - [i56]Evgenii Egorov, Kirill Neklyudov, Ruslan Kostoev, Evgeny Burnaev:
MaxEntropy Pursuit Variational Inference. CoRR abs/1905.07855 (2019) - [i55]Oleg Sudakov, Dmitri A. Koroteev, Boris Belozerov, Evgeny Burnaev:
Artificial Neural Network Surrogate Modeling of Oil Reservoir: a Case Study. CoRR abs/1905.07859 (2019) - [i54]Maria Kolos, Anton Marin, Alexey Artemov, Evgeny Burnaev:
Procedural Synthesis of Remote Sensing Images for Robust Change Detection with Neural Networks. CoRR abs/1905.07877 (2019) - [i53]Dmitry Smolyakov, Nadezda Sviridenko, Vladislav Ishimtsev, Evgeny Burikov, Eugeny Burnaev:
Learning Ensembles of Anomaly Detectors on Synthetic Data. CoRR abs/1905.07892 (2019) - [i52]Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Alexander Pletneev, Ivan Maksimov, Evgeny Burnaev:
Demand forecasting techniques for build-to-order lean manufacturing supply chains. CoRR abs/1905.07902 (2019) - [i51]Evgenii Kanin, Andrei Osiptsov, Albert L. Vainshtein, Evgeny Burnaev:
A Predictive Model for Steady-State Multiphase Pipe Flow: Machine Learning on Lab Data. CoRR abs/1905.09746 (2019) - [i50]Marina Pominova, Anna Kuzina, Ekaterina Kondrateva, Svetlana Sushchinskaya, Maxim Sharaev, Evgeny Burnaev, Vyacheslav Yarkin:
Ensemble of 3D CNN regressors with data fusion for fluid intelligence prediction. CoRR abs/1905.10550 (2019) - [i49]Polina Proskura, Alexey Zaytsev, I. Braslavsky, Evgenii Egorov, Evgeny Burnaev:
Usage of multiple RTL features for Earthquake prediction. CoRR abs/1905.10805 (2019) - [i48]Evgeny Burnaev:
Rare Failure Prediction via Event Matching for Aerospace Applications. CoRR abs/1905.11586 (2019) - [i47]Boris B. Velichkovsky, Nikita Khromov, Alexander Korotin, Evgeny Burnaev, Andrey Somov:
Visual Fixations Duration as an Indicator of Skill Level in eSports. CoRR abs/1906.01699 (2019) - [i46]Rodrigo Rivera-Castro, Polina Pilyugina, Alexander Pletnev, Ivan Maksimov, Wanyi Wyz, Evgeny Burnaev:
Topological Data Analysis of Time Series Data for B2B Customer Relationship Management. CoRR abs/1906.03956 (2019) - [i45]Maria Taktasheva, Albert Matveev, Alexey Artemov, Evgeny Burnaev:
Learning to Approximate Directional Fields Defined over 2D Planes. CoRR abs/1907.00559 (2019) - [i44]Anna Kuzina, Evgenii Egorov, Evgeny Burnaev:
Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems. CoRR abs/1908.05480 (2019) - [i43]Anton Smerdov, Evgeny Burnaev, Andrey Somov:
eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart Chair. CoRR abs/1908.06402 (2019) - [i42]Alexander Korotin, Nikita Khromov, Anton Stepanov, Andrey Lange, Evgeny Burnaev, Andrey Somov:
Towards Understanding of eSports Athletes' Potentialities: The Sensing System for Data Collection and Analysis. CoRR abs/1908.06403 (2019) - [i41]Anton Stepanov, Andrey Lange, Nikita Khromov, Alexander Korotin, Evgeny Burnaev, Andrey Somov:
Sensors and Game Synchronization for Data Analysis in eSports. CoRR abs/1908.06404 (2019) - [i40]Anton Smerdov, Anastasia Kiskun, Rostislav Shaniiazov, Andrey Somov, Evgeny Burnaev:
Understanding Cyber Athletes Behaviour Through a Smart Chair: CS: GO and Monolith Team Scenario. CoRR abs/1908.06407 (2019) - [i39]Anna Kuzina, Evgenii Egorov, Evgeny Burnaev:
BooVAE: A scalable framework for continual VAE learning under boosting approach. CoRR abs/1908.11853 (2019) - [i38]Alexander Korotin, Vage Egiazarian, Arip Asadulaev, Evgeny Burnaev:
Wasserstein-2 Generative Networks. CoRR abs/1909.13082 (2019) - [i37]Ivan Fursov, Alexey Zaytsev, Rasul Khasyanov, Martin Spindler, Evgeniy Burnaev:
Sequence embeddings help to identify fraudulent cases in healthcare insurance. CoRR abs/1910.03072 (2019) - [i36]Sergei Ivanov, Sergei Sviridov, Evgeny Burnaev:
Understanding Isomorphism Bias in Graph Data Sets. CoRR abs/1910.12091 (2019) - [i35]R. F. Mutalova, Anton D. Morozov, Andrei Osiptsov, Albert L. Vainshtein, Evgeny V. Burnaev, Egor V. Shel, Grigory V. Paderin:
Machine learning on field data for hydraulic fracturing design optimization. CoRR abs/1910.14499 (2019) - [i34]Sergey Pavlov, Alexey Artemov, Maksim Sharaev, Alexander Bernstein, Evgeny Burnaev:
Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem. CoRR abs/1911.01738 (2019) - [i33]Marina Pominova, Ekaterina Kondrateva, Maksim Sharaev, Sergey Pavlov, Alexander Bernstein, Evgeny Burnaev:
3D Deformable Convolutions for MRI classification. CoRR abs/1911.01898 (2019) - [i32]Serguei Barannikov, Alexander Korotin, Dmitry Oganesyan, Daniil Emtsev, Evgeny Burnaev:
Barcodes as summary of objective function's topology. CoRR abs/1912.00043 (2019) - [i31]Yermek Kapushev, Ivan V. Oseledets, Evgeny Burnaev:
Tensor Completion via Gaussian Process Based Initialization. CoRR abs/1912.05179 (2019) - [i30]Vage Egiazarian, Savva Ignatyev, Alexey Artemov, Oleg Voynov, Andrey Kravchenko, Youyi Zheng, Luiz Velho, Evgeny Burnaev:
Latent-Space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds. CoRR abs/1912.06466 (2019) - [i29]Alexander Korotin, Vladimir V'yugin, Evgeny Burnaev:
Integral Mixabilty: a Tool for Efficient Online Aggregation of Functional and Probabilistic Forecasts. CoRR abs/1912.07048 (2019) - 2018
- [c38]Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev:
Manifold Learning Regression with Non-stationary Kernels. ANNPR 2018: 152-164 - [c37]Maxim Sharaev, Alexander Andreev, Alexey Artemov, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Irina Samotaeva, Vladislav Gaskin, Alexander Bernstein:
Pattern Recognition Pipeline for Neuroimaging Data. ANNPR 2018: 306-319 - [c36]Dmitry Smolyakov, Nadezda Sviridenko, Evgeny Burikov, Evgeny Burnaev:
Anomaly Pattern Recognition with Privileged Information for Sensor Fault Detection. ANNPR 2018: 320-332 - [c35]German Novikov, Alexey Trekin, Georgy Potapov, Vladimir Ignatiev, Evgeny Burnaev:
Satellite Imagery Analysis for Operational Damage Assessment in Emergency Situations. BIS 2018: 347-358 - [c34]Alexander Korotin, Vladimir V'yugin, Evgeny Burnaev:
Aggregating strategies for long-term forecasting. COPA 2018: 63-82 - [c33]Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev:
Conformal prediction in manifold learning. COPA 2018: 234-253 - [c32]Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev:
Kernel Regression on Manifold Valued Data. DSAA 2018: 120-129 - [c31]Maksim Sharaev, Alexey Artemov, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Evgeny Burnaev, Alexander Bernstein, Renat Akzhigitov, Alexander Andreev:
MRI-Based Diagnostics of Depression Concomitant with Epilepsy: In Search of the Potential Biomarkers. DSAA 2018: 555-564 - [c30]Maksim Sharaev, Alexander Smirnov, Tatiana Melnikova-Pitskhelauri, Vyacheslav A. Orlov, Evgeny Burnaev, Igor Pronin, David Pitskhelauri, Alexander Bernstein:
Functional Brain Areas Mapping in Patients with Glioma Based on Resting-State fMRI Data Decomposition. ICDM Workshops 2018: 292-298 - [c29]Marina Pominova, Alexey Artemov, Maksim Sharaev, Ekaterina Kondrateva, Alexander Bernstein, Evgeny Burnaev:
Voxelwise 3D Convolutional and Recurrent Neural Networks for Epilepsy and Depression Diagnostics from Structural and Functional MRI Data. ICDM Workshops 2018: 299-307 - [c28]Maksim Sharaev, Alexey Artemov, Ekaterina Kondrateva, Sergei Ivanov, Svetlana Sushchinskaya, Alexander Bernstein, Andrzej Cichocki, Evgeny Burnaev:
Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics. ICDM Workshops 2018: 308-314 - [c27]Sergey Ivanov, Nikita Durasov, Evgeny Burnaev:
Learning Node Embeddings for Influence Set Completion. ICDM Workshops 2018: 1034-1037 - [c26]Sergey Ivanov, Evgeny Burnaev:
Anonymous Walk Embeddings. ICML 2018: 2191-2200 - [c25]Dmitry Smolyakov, Alexander Korotin, Pavel Erofeev, Artem Papanov, Evgeny Burnaev:
Meta-learning for resampling recommendation systems. ICMV 2018: 110411S - [c24]Vladimir Ignatiev, Alexey Trekin, Viktor Lobachev, Georgy Potapov, Evgeny Burnaev:
Targeted change detection in remote sensing images. ICMV 2018: 110412H - [c23]Alexander V. Bernstein, Evgeny Burnaev, Oleg N. Kachan:
Reinforcement Learning for Computer Vision and Robot Navigation. MLDM (2) 2018: 258-272 - [c22]Marina Munkhoeva, Yermek Kapushev, Evgeny Burnaev, Ivan V. Oseledets:
Quadrature-based features for kernel approximation. NeurIPS 2018: 9165-9174 - [i28]Marina Munkhoeva, Yermek Kapushev, Evgeny Burnaev, Ivan V. Oseledets:
Quadrature-based features for kernel approximation. CoRR abs/1802.03832 (2018) - [i27]Alexey Trekin, German Novikov, Georgy Potapov, Vladimir Ignatiev, Evgeny Burnaev:
Satellite imagery analysis for operational damage assessment in Emergency situations. CoRR abs/1803.00397 (2018) - [i26]Oleg Sudakov, Evgeny Burnaev, Dmitry A. Koroteev:
Driving Digital Rock towards Machine Learning: predicting permeability with Gradient Boosting and Deep Neural Networks. CoRR abs/1803.00758 (2018) - [i25]Vladimir Ignatiev, Alexey Trekin, Viktor Lobachev, Georgy Potapov, Evgeny Burnaev:
Targeted change detection in remote sensing images. CoRR abs/1803.05482 (2018) - [i24]Alexander Korotin, Vladimir V'yugin, Evgeny Burnaev:
Aggregating Strategies for Long-term Forecasting. CoRR abs/1803.06727 (2018) - [i23]Alexander Bernstein, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Maxim Sharaev, Alexander Andreev, Alexey Artemov, Renat Akzhigitov:
Machine Learning pipeline for discovering neuroimaging-based biomarkers in neurology and psychiatry. CoRR abs/1804.10163 (2018) - [i22]Maxim Sharaev, Alexander Andreev, Alexey Artemov, Alexander Bernstein, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Renat Akzhigitov:
fMRI: preprocessing, classification and pattern recognition. CoRR abs/1804.10167 (2018) - [i21]Sergey Ivanov, Evgeny Burnaev:
Anonymous Walk Embeddings. CoRR abs/1805.11921 (2018) - [i20]Nikita Klyuchnikov, Alexey Zaytsev, Arseniy Gruzdev, Georgiy Ovchinnikov, Ksenia Antipova, Leyla S. Ismailova, Ekaterina A. Muravleva, Evgeny Burnaev, Artyom Semenikhin, Alexey Cherepanov, Vitaliy Koryabkin, Igor Simon, Alexey Tsurgan, Fedor Krasnov, Dmitry A. Koroteev:
Data-driven model for the identification of the rock type at a drilling bit. CoRR abs/1806.03218 (2018) - [i19]ShahRukh Athar, Evgeniy Burnaev, Victor S. Lempitsky:
Latent Convolutional Models. CoRR abs/1806.06284 (2018) - [i18]Nikita Klyuchnikov, Evgeny Burnaev:
Laplace Inference for Multi-fidelity Gaussian Process Classification. CoRR abs/1809.05143 (2018) - [i17]Nikita Khromov, Alexander Korotin, Andrey Lange, Anton Stepanov, Evgeny Burnaev, Andrey Somov:
Esports Athletes and Players: a Comparative Study. CoRR abs/1812.03200 (2018) - [i16]Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, Daniele Panozzo:
ABC: A Big CAD Model Dataset For Geometric Deep Learning. CoRR abs/1812.06216 (2018) - [i15]O. Voinov, Alexey Artemov, Vage Egiazarian, Alexandr Notchenko, Gleb Bobrovskikh, Denis Zorin, Evgeniy Burnaev:
Perceptually-based single-image depth super-resolution. CoRR abs/1812.09874 (2018) - 2017
- [j6]Alexey Zaytsev, Evgeny Burnaev:
Large scale variable fidelity surrogate modeling. Ann. Math. Artif. Intell. 81(1-2): 167-186 (2017) - [j5]Evgeny Burnaev, Ivan Panin, Bruno Sudret:
Efficient design of experiments for sensitivity analysis based on polynomial chaos expansions. Ann. Math. Artif. Intell. 81(1-2): 187-207 (2017) - [j4]Evgeny V. Burnaev, G. K. Golubev:
On One Problem in Multichannel Signal Detection. Probl. Inf. Transm. 53(4): 368-380 (2017) - [c21]Alexandr Notchenko, Yermek Kapushev, Evgeny Burnaev:
Large-Scale Shape Retrieval with Sparse 3D Convolutional Neural Networks. AIST 2017: 245-254 - [c20]Alexey Zaytsev, Evgeny Burnaev:
Minimax Approach to Variable Fidelity Data Interpolation. AISTATS 2017: 652-661 - [c19]Denis Volkhonskiy, Evgeny Burnaev, Ilia Nouretdinov, Alexander Gammerman, Vladimir Vovk:
Inductive Conformal Martingales for Change-Point Detection. COPA 2017: 132-153 - [c18]Vladislav Ishimtsev, Alexander Bernstein, Evgeny Burnaev, Ivan Nazarov:
Conformal k-NN Anomaly Detector for Univariate Data Streams. COPA 2017: 213-227 - [c17]Rodrigo Rivera, Evgeny Burnaev:
Forecasting of Commercial Sales with Large Scale Gaussian Processes. ICDM Workshops 2017: 625-634 - [c16]Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev, Yury Yanovich:
Machine Learning in Appearance-Based Robot Self-Localization. ICMLA 2017: 106-112 - [c15]A. V. Bernstein, Evgeny V. Burnaev:
Reinforcement learning in computer vision. ICMV 2017: 106961S - [c14]Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev:
Mobile Robot Localization via Machine Learning. MLDM 2017: 276-290 - [i14]Denis Volkhonskiy, Ivan Nazarov, Boris Borisenko, Evgeny Burnaev:
Steganographic Generative Adversarial Networks. CoRR abs/1703.05502 (2017) - [i13]Evgeny Burnaev, Pavel Erofeev, Artem Papanov:
Meta-Learning for Construction of Resampling Recommendation Systems. CoRR abs/1706.02289 (2017) - [i12]Vladislav Ishimtsev, Ivan Nazarov, Alexander Bernstein, Evgeny Burnaev:
Conformal k-NN Anomaly Detector for Univariate Data Streams. CoRR abs/1706.03412 (2017) - [i11]Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev:
Mobile Robot Localization via Machine Learning. CoRR abs/1707.03469 (2017) - [i10]Evgeny Burnaev, Pavel Erofeev, Artem Papanov:
Influence of Resampling on Accuracy of Imbalanced Classification. CoRR abs/1707.03905 (2017) - [i9]Evgeny Burnaev, Pavel Erofeev, Dmitry Smolyakov:
Model Selection for Anomaly Detection. CoRR abs/1707.03909 (2017) - [i8]Eugeny Burnaev, Alexander Korotin, Vladimir V'yugin:
Long-Term Sequential Prediction Using Expert Advice. CoRR abs/1711.03194 (2017) - 2016
- [j3]Mikhail Belyaev, Evgeny Burnaev, Ermek Kapushev, Maxim Panov, Pavel V. Prikhodko, Dmitry P. Vetrov, Dmitry Yarotsky:
GTApprox: Surrogate modeling for industrial design. Adv. Eng. Softw. 102: 29-39 (2016) - [c13]Evgeny Burnaev, Ivan Panin, Bruno Sudret:
Effective Design for Sobol Indices Estimation Based on Polynomial Chaos Expansions. COPA 2016: 165-184 - [c12]Alexey Artemov, Evgeny Burnaev:
Detecting Performance Degradation of Software-Intensive Systems in the Presence of Trends and Long-Range Dependence. ICDM Workshops 2016: 29-36 - [c11]Evgeny Burnaev, Dmitry Smolyakov:
One-Class SVM with Privileged Information and Its Application to Malware Detection. ICDM Workshops 2016: 273-280 - [c10]Evgeny Burnaev, Ivan Nazarov:
Conformalized Kernel Ridge Regression. ICMLA 2016: 45-52 - [c9]Evgeny Burnaev, Ivan Koptelov, German Novikov, Timur Khanipov:
Automatic construction of a recurrent neural network based classifier for vehicle passage detection. ICMV 2016: 1034103 - [i7]Evgeny Burnaev, Vladislav Ishimtsev:
Conformalized density- and distance-based anomaly detection in time-series data. CoRR abs/1608.04585 (2016) - [i6]Mikhail Belyaev, Evgeny Burnaev, Ermek Kapushev, Maxim Panov, Pavel V. Prikhodko, Dmitry P. Vetrov, Dmitry Yarotsky:
GTApprox: surrogate modeling for industrial design. CoRR abs/1609.01088 (2016) - [i5]Evgeny Burnaev, Ivan Nazarov:
Conformalized Kernel Ridge Regression. CoRR abs/1609.05959 (2016) - [i4]Evgeny Burnaev, Dmitry Smolyakov:
One-Class SVM with Privileged Information and its Application to Malware Detection. CoRR abs/1609.08039 (2016) - [i3]Evgeny Burnaev, Ivan Koptelov, German Novikov, Timur Khanipov:
Automatic Construction of a Recurrent Neural Network based Classifier for Vehicle Passage Detection. CoRR abs/1609.08209 (2016) - [i2]Alexandr Notchenko, Ermek Kapushev, Evgeny Burnaev:
Sparse 3D Convolutional Neural Networks for Large-Scale Shape Retrieval. CoRR abs/1611.09159 (2016) - 2015
- [c8]Alexey Artemov, Evgeny Burnaev:
Ensembles of detectors for online detection of transient changes. ICMV 2015: 98751Z - [c7]Alexey Artemov, Evgeny Burnaev, Andrey Lokot:
Nonparametric decomposition of quasi-periodic time series for change-point detection. ICMV 2015: 987520 - [c6]Evgeny Burnaev, Pavel Erofeev, Artem Papanov:
Influence of resampling on accuracy of imbalanced classification. ICMV 2015: 987521 - [c5]Evgeny Burnaev, Pavel Erofeev, Dmitry Smolyakov:
Model selection for anomaly detection. ICMV 2015: 987525 - [c4]Evgeny Burnaev, Ivan Panin:
Adaptive Design of Experiments for Sobol Indices Estimation Based on Quadratic Metamodel. SLDS 2015: 86-95 - [c3]Mikhail Belyaev, Evgeny Burnaev, Yermek Kapushev:
Gaussian Process Regression for Structured Data Sets. SLDS 2015: 106-115 - [c2]Evgeny Burnaev, Maxim Panov:
Adaptive Design of Experiments Based on Gaussian Processes. SLDS 2015: 116-125 - 2014
- [c1]Evgeny Burnaev, Vladimir Vovk:
Efficiency of conformalized ridge regression. COLT 2014: 605-622 - [i1]Evgeny Burnaev, Vladimir Vovk:
Efficiency of conformalized ridge regression. CoRR abs/1404.2083 (2014) - 2013
- [j2]Evgeny V. Burnaev, Pavel V. Prikhod'ko:
On a method for constructing ensembles of regression models. Autom. Remote. Control. 74(10): 1630-1644 (2013) - [j1]Alexey A. Zaitsev, Evgeny V. Burnaev, Vladimir G. Spokoiny:
Properties of the posterior distribution of a regression model based on Gaussian random fields. Autom. Remote. Control. 74(10): 1645-1655 (2013)
Coauthor Index
[j39] [c118] [i137] [j16] [c104] [c101] [c100] [i130] [i124] [c99] [c98] [c85] [c84] [i111] [i106] [i99] [c80] [c76] [c75] [c65] [c64] [i96] [i89] [i87] [i85] [i83] [i70] [i69] [c63] [c62] [c59] [c55] [c45] [i58] [i54] [i45] [i34] [i30] [c37] [c31] [c29] [c28] [i23] [i22] [i16] [i15] [c12] [c8] [c7]
Alexander V. Bernstein
aka: Alexander Bernstein
aka: Alexander Bernstein
Yermek Kapushev
aka: Ermek Kapushev
aka: Ermek Kapushev
Nikita Klyuchnikov
aka: Nikita Kluchnikov
aka: Nikita Kluchnikov
Dmitry A. Koroteev
aka: Dmitri A. Koroteev
aka: Dmitri A. Koroteev
[c126] [c125] [c124] [c122] [c121] [i166] [i165] [i164] [i158] [i157] [i155] [c117] [c116] [c113] [c112] [c111] [i152] [i148] [i147] [i146] [i143] [i140] [i139] [j18] [c106] [c103] [c102] [i133] [i132] [i131] [i126] [i125] [i123] [i116] [j13] [c95] [c94] [c90] [c89] [c88] [i113] [i110] [i109] [i108] [i101] [j11] [c77] [c67] [i65] [j7] [c50] [c49] [c40] [i61] [i47] [i42] [i41] [i38] [i32] [i29] [c34] [c25] [i24] [i17] [i8]
Maxim Sharaev
aka: Maksim Sharaev
aka: Maksim Sharaev
Alexey Zaytsev 0002
aka: Alexey A. Zaitsev
aka: Alexey A. Zaitsev
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-12-26 01:55 CET by the dblp team
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