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ORCIDKostadin Cvejoski
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2020 – today
- 2024
[b1]Kostadin Cvejoski:
Deep Dynamic Language Models. Rheinische Friedrich-Wilhelms-Universität, Bonn, Germany, 2024- [c15]Kostadin Cvejoski, Ramsés J. Sánchez, César Ojeda:
The Future is Different: Predicting Reddits Popularity with Variational Dynamic Language Models. ECML/PKDD (1) 2024: 422-439 - [i13]Patrick Seifner, Kostadin Cvejoski, Ramsés J. Sánchez:
Foundational Inference Models for Dynamical Systems. CoRR abs/2402.07594 (2024) - [i12]David Berghaus, Kostadin Cvejoski, Patrick Seifner, César Ojeda, Ramsés J. Sánchez:
Foundation Inference Models for Markov Jump Processes. CoRR abs/2406.06419 (2024) - 2023
- [c14]Kostadin Cvejoski, Ramsés J. Sánchez, César Ojeda:
Neural Dynamic Focused Topic Model. AAAI 2023: 12719-12727 - [c13]Ramsés J. Sánchez, Lukas Conrads, Pascal Welke, Kostadin Cvejoski, César Ojeda Marin:
Hidden Schema Networks. ACL (1) 2023: 4764-4798 - [i11]Kostadin Cvejoski, Ramsés J. Sánchez, César Ojeda:
Neural Dynamic Focused Topic Model. CoRR abs/2301.10988 (2023) - 2022
- [c12]David Biesner, Kostadin Cvejoski, Rafet Sifa:
Combining Variational Autoencoders and Transformer Language Models for Improved Password Generation. ARES 2022: 37:1-37:6 - [i10]Julian Wörmann, Daniel Bogdoll, Etienne Bührle, Han Chen, Evaristus Fuh Chuo, Kostadin Cvejoski, Ludger van Elst, Tobias Gleißner, Philip Gottschall, Stefan Griesche, Christian Hellert, Christian Hesels, Sebastian Houben, Tim Joseph, Niklas Keil, Johann Kelsch, Hendrik Königshof, Erwin Kraft, Leonie Kreuser, Kevin Krone, Tobias Latka, Denny Mattern
, Stefan Matthes, Mohsin Munir, Moritz Nekolla, Adrian Paschke, Maximilian Alexander Pintz, Tianming Qiu, Faraz Qureishi, Syed Tahseen Raza Rizvi, Jörg Reichardt, Laura von Rüden, Stefan Rudolph, Alexander Sagel, Gerhard Schunk, Hao Shen, Hendrik Stapelbroek, Vera Stehr, Gurucharan Srinivas, Anh Tuan Tran, Abhishek Vivekanandan, Ya Wang, Florian Wasserrab, Tino Werner, Christian Wirth, Stefan Zwicklbauer:
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey. CoRR abs/2205.04712 (2022) - [i9]Laura von Rüden, Sebastian Houben, Kostadin Cvejoski, Christian Bauckhage, Nico Piatkowski:
Informed Pre-Training on Prior Knowledge. CoRR abs/2205.11433 (2022) - [i8]Ramsés J. Sánchez, Lukas Conrads, Pascal Welke, Kostadin Cvejoski, César Ojeda:
Hidden Schema Networks. CoRR abs/2207.03777 (2022) - [i7]Kostadin Cvejoski, Ramsés J. Sánchez, César Ojeda:
The future is different: Large pre-trained language models fail in prediction tasks. CoRR abs/2211.00384 (2022) - 2021
- [c11]César Ojeda, Kostadin Cvejoski, Bogdan Georgiev, Christian Bauckhage, Jannis Schuecker, Ramsés J. Sánchez:
Learning Deep Generative Models for Queuing Systems. AAAI 2021: 9214-9222 - [c10]Viktoriya Olari, Kostadin Cvejoski, Øyvind Eide:
Introduction to Machine Learning with Robots and Playful Learning. AAAI 2021: 15630-15639 - [c9]David Biesner, Kostadin Cvejoski, Bogdan Georgiev, Rafet Sifa, Erik Krupicka:
Advances in Password Recovery Using Generative Deep Learning Techniques. ICANN (3) 2021: 15-27 - [i6]Kostadin Cvejoski, Ramsés J. Sánchez, Christian Bauckhage, César Ojeda:
Dynamic Review-based Recommenders. CoRR abs/2110.14747 (2021) - [i5]Kostadin Cvejoski, Jannis Schuecker, Anne-Katrin Mahlein, Bogdan Georgiev:
Combining expert knowledge and neural networks to model environmental stresses in agriculture. CoRR abs/2111.00918 (2021) - 2020
- [c8]César Ojeda, Ramsés J. Sánchez, Kostadin Cvejoski, Jannis Schücker, Christian Bauckhage, Bogdan Georgiev:
Auto Encoding Explanatory Examples with Stochastic Paths. ICPR 2020: 6219-6226 - [c7]César Ojeda, Bogdan Georgiev, Kostadin Cvejoski, Jannis Schücker, Christian Bauckhage, Ramsés J. Sánchez:
Switching Dynamical Systems with Deep Neural Networks. ICPR 2020: 6305-6312 - [c6]Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Christian Bauckhage, César Ojeda:
Recurrent Point Review Models. IJCNN 2020: 1-8 - [i4]Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Christian Bauckhage, César Ojeda:
Recurrent Point Review Models. CoRR abs/2012.05684 (2020) - [i3]David Biesner, Kostadin Cvejoski, Bogdan Georgiev, Rafet Sifa, Erik Krupicka:
Generative Deep Learning Techniques for Password Generation. CoRR abs/2012.05685 (2020)
2010 – 2019
- 2019
- [c5]César Ali Marin Ojeda, Kostadin Cvejoski, Rafet Sifa, Jannis Schücker, Christian Bauckhage:
Patterns and Outliers in Temporal Point Processes. IntelliSys (1) 2019: 507-526 - [i2]César Ojeda, Kostadin Cvejosky, Ramsés J. Sánchez, Jannis Schücker, Bogdan Georgiev, Christian Bauckhage:
Recurrent Adversarial Service Times. CoRR abs/1906.09808 (2019) - [i1]Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Jannis Schuecker, Christian Bauckhage, César Ojeda:
Recurrent Point Processes for Dynamic Review Models. CoRR abs/1912.04132 (2019) - 2017
- [c4]Christian Bauckhage, Eduardo Brito, Kostadin Cvejoski, César Ojeda, Rafet Sifa, Stefan Wrobel:
Ising Models for Binary Clustering via Adiabatic Quantum Computing. EMMCVPR 2017: 3-17 - [c3]César Ojeda, Kostadin Cvejoski, Rafet Sifa, Christian Bauckhage:
Inverse Dynamical Inheritance in Stack Exchange Taxonomies. ICWSM 2017: 644-647 - [c2]Rafet Sifa, César Ojeda, Kostadin Cvejoski, Christian Bauckhage:
Interpretable Matrix Factorization with Stochastic Nonnegative DEDICOM. LWDA 2017: 74 - 2016
- [c1]César Ojeda, Kostadin Cvejoski, Rafet Sifa, Christian Bauckhage:
Variable Attention and Variable Noise: Forecasting User Activity. LWDA 2016: 347-358
Coauthor Index
aka: César Ali Marin Ojeda
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