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ORCIDGrigorios Chrysos 0002
Grigorios G. Chrysos – Grigoris G. Chrysos
Person information
- affiliation: University of Wisconsin-Madison, WI, USA
- affiliation (PhD): Imperial College London, Department of Computing, UK
Other persons with the same name
- Grigorios Chrysos 0001 (aka: Gregory Chrysos) — Technical University of Crete, School of Electrical and Computer Engineering, Chania, Greece
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2020 – today
- 2024
[j13]Sonam Gupta, Snehal Singh Tomar, Grigorios Chrysos, Sukhendu Das, Ambasamudram Narayanan Rajagopalan:
PNeRV: A Polynomial Neural Representation for Videos. Trans. Mach. Learn. Res. 2024 (2024)- [c37]Grigorios Chrysos:
Architecture Design: From Neural Networks to Foundation Models. DSAA 2024: 1-3 - [c36]Aggelina Chatziagapi, Grigorios G. Chrysos, Dimitris Samaras:
MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition. ECCV (24) 2024: 388-408 - [c35]Elías Abad-Rocamora, Fanghui Liu, Grigorios Chrysos, Pablo M. Olmos, Volkan Cevher:
Efficient local linearity regularization to overcome catastrophic overfitting. ICLR 2024 - [c34]Yihang Chen, Fanghui Liu, Yiping Lu, Grigorios Chrysos, Volkan Cevher:
Generalization of Scaled Deep ResNets in the Mean-Field Regime. ICLR 2024 - [c33]Yixin Cheng, Grigorios Chrysos, Markos Georgopoulos, Volkan Cevher:
Multilinear Operator Networks. ICLR 2024 - [c32]Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel, Grigorios Chrysos, Volkan Cevher:
Robust NAS under adversarial training: benchmark, theory, and beyond. ICLR 2024 - [c31]Elías Abad-Rocamora, Yongtao Wu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher:
Revisiting Character-level Adversarial Attacks for Language Models. ICML 2024 - [c30]Arshia Afzal, Grigorios Chrysos, Volkan Cevher, Mahsa Shoaran:
REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates. ICML 2024 - [c29]Justin Deschenaux, Igor Krawczuk, Grigorios Chrysos, Volkan Cevher:
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations. ICML 2024 - [c28]Pol Puigdemont, Stratis Skoulakis, Grigorios Chrysos, Volkan Cevher:
Learning to Remove Cuts in Integer Linear Programming. ICML 2024 - [c27]James Oldfield, Markos Georgopoulos, Grigorios Chrysos, Christos Tzelepis, Yannis Panagakis, Mihalis Nicolaou, Jiankang Deng, Ioannis Patras:
Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization. NeurIPS 2024 - [i45]Elías Abad-Rocamora, Fanghui Liu, Grigorios G. Chrysos, Pablo M. Olmos, Volkan Cevher:
Efficient local linearity regularization to overcome catastrophic overfitting. CoRR abs/2401.11618 (2024) - [i44]Yixin Cheng, Grigorios G. Chrysos, Markos Georgopoulos, Volkan Cevher:
Multilinear Operator Networks. CoRR abs/2401.17992 (2024) - [i43]Yixin Cheng, Markos Georgopoulos, Volkan Cevher, Grigorios G. Chrysos:
Leveraging the Context through Multi-Round Interactions for Jailbreaking Attacks. CoRR abs/2402.09177 (2024) - [i42]James Oldfield
, Markos Georgopoulos, Grigorios G. Chrysos, Christos Tzelepis, Yannis Panagakis, Mihalis A. Nicolaou, Jiankang Deng, Ioannis Patras:
Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization. CoRR abs/2402.12550 (2024) - [i41]Yihang Chen, Fanghui Liu, Yiping Lu, Grigorios G. Chrysos, Volkan Cevher:
Generalization of Scaled Deep ResNets in the Mean-Field Regime. CoRR abs/2403.09889 (2024) - [i40]Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel, Grigorios G. Chrysos, Volkan Cevher:
Robust NAS under adversarial training: benchmark, theory, and beyond. CoRR abs/2403.13134 (2024) - [i39]Aggelina Chatziagapi, Grigorios G. Chrysos, Dimitris Samaras:
MI-NeRF: Learning a Single Face NeRF from Multiple Identities. CoRR abs/2403.19920 (2024) - [i38]Elías Abad-Rocamora, Yongtao Wu, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher:
Revisiting character-level adversarial attacks. CoRR abs/2405.04346 (2024) - [i37]Justin Deschenaux, Igor Krawczuk, Grigorios Chrysos, Volkan Cevher:
Going beyond compositional generalization, DDPMs can produce zero-shot interpolation. CoRR abs/2405.19201 (2024) - [i36]Arshia Afzal, Grigorios Chrysos, Volkan Cevher, Mahsa Shoaran:
REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates. CoRR abs/2406.16906 (2024) - [i35]Pol Puigdemont, Stratis Skoulakis, Grigorios Chrysos, Volkan Cevher:
Learning to Remove Cuts in Integer Linear Programming. CoRR abs/2406.18781 (2024) - [i34]Sonam Gupta, Snehal Singh Tomar, Grigorios G. Chrysos, Sukhendu Das, A. N. Rajagopalan:
PNeRV: A Polynomial Neural Representation for Videos. CoRR abs/2406.19299 (2024) - [i33]Aggelina Chatziagapi, Grigorios G. Chrysos, Dimitris Samaras:
MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition. CoRR abs/2407.07284 (2024) - [i32]Zheyang Xiong, Ziyang Cai, John Cooper, Albert Ge, Vasilis Papageorgiou, Zack Sifakis, Angeliki Giannou, Ziqian Lin, Liu Yang, Saurabh Agarwal, Grigorios G. Chrysos, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos:
Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition. CoRR abs/2410.05603 (2024) - [i31]Daniel Morales-Brotons, Grigorios Chrysos, Stratis Tzoumas, Volkan Cevher:
The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation. CoRR abs/2411.18728 (2024) - 2023
- [j12]Francesca Babiloni, Ioannis Marras, Jiankang Deng, Filippos Kokkinos, Matteo Maggioni, Grigorios Chrysos, Philip H. S. Torr, Stefanos Zafeiriou:
Linear Complexity Self-Attention With $3{\mathrm{rd}}$3 rd Order Polynomials. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 12726-12737 (2023) - [j11]Thomas Pethick, Grigorios Chrysos, Volkan Cevher:
Revisiting adversarial training for the worst-performing class. Trans. Mach. Learn. Res. 2023 (2023) - [j10]Ali Ramezani-Kebrya, Fanghui Liu, Thomas Pethick, Grigorios Chrysos, Volkan Cevher:
Federated Learning under Covariate Shifts with Generalization Guarantees. Trans. Mach. Learn. Res. 2023 (2023) - [c26]Grigorios G. Chrysos, Bohan Wang, Jiankang Deng, Volkan Cevher:
Regularization of polynomial networks for image recognition. CVPR 2023: 16123-16132 - [c25]Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Francesco Locatello, Volkan Cevher:
Benign Overfitting in Deep Neural Networks under Lazy Training. ICML 2023: 43105-43128 - [c24]Lorenzo Brusca, Lars C. P. M. Quaedvlieg, Stratis Skoulakis, Grigorios Chrysos, Volkan Cevher:
Maximum Independent Set: Self-Training through Dynamic Programming. NeurIPS 2023 - [c23]Yongtao Wu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher:
On the Convergence of Encoder-only Shallow Transformers. NeurIPS 2023 - [i30]Thomas Pethick, Grigorios G. Chrysos, Volkan Cevher:
Revisiting adversarial training for the worst-performing class. CoRR abs/2302.08872 (2023) - [i29]Grigorios G. Chrysos, Bohan Wang, Jiankang Deng, Volkan Cevher:
Regularization of polynomial networks for image recognition. CoRR abs/2303.13896 (2023) - [i28]Zhenyu Zhu, Fanghui Liu, Grigorios G. Chrysos, Francesco Locatello, Volkan Cevher:
Benign Overfitting in Deep Neural Networks under Lazy Training. CoRR abs/2305.19377 (2023) - [i27]Ali Ramezani-Kebrya, Fanghui Liu, Thomas Pethick, Grigorios Chrysos, Volkan Cevher:
Federated Learning under Covariate Shifts with Generalization Guarantees. CoRR abs/2306.05325 (2023) - [i26]Lorenzo Brusca, Lars C. P. M. Quaedvlieg, Stratis Skoulakis, Grigorios G. Chrysos, Volkan Cevher:
Maximum Independent Set: Self-Training through Dynamic Programming. CoRR abs/2310.18672 (2023) - [i25]Yongtao Wu, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher:
On the Convergence of Encoder-only Shallow Transformers. CoRR abs/2311.01575 (2023) - 2022
- [j9]Grigorios G. Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou:
Deep Polynomial Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4021-4034 (2022) - [c22]Markos Georgopoulos, James Oldfield, Grigorios G. Chrysos, Yannis Panagakis:
Cluster-guided Image Synthesis with Unconditional Models. CVPR 2022: 11533-11542 - [c21]Athanasios Papaioannou, Baris Gecer, Shiyang Cheng, Grigorios Chrysos, Jiankang Deng, Eftychia Fotiadou, Christos Kampouris, Dimitrios Kollias, Stylianos Moschoglou, Kritaphat Songsri-in, Stylianos Ploumpis, George Trigeorgis, Panagiotis Tzirakis, Evangelos Ververas, Yuxiang Zhou, Allan Ponniah, Anastasios Roussos, Stefanos Zafeiriou:
MimicME: A Large Scale Diverse 4D Database for Facial Expression Analysis. ECCV (8) 2022: 467-484 - [c20]Grigorios G. Chrysos, Markos Georgopoulos, Jiankang Deng, Jean Kossaifi, Yannis Panagakis, Anima Anandkumar:
Augmenting Deep Classifiers with Polynomial Neural Networks. ECCV (25) 2022: 692-716 - [c19]Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher:
The Spectral Bias of Polynomial Neural Networks. ICLR 2022 - [c18]Zhenyu Zhu, Fabian Latorre, Grigorios Chrysos, Volkan Cevher:
Controlling the Complexity and Lipschitz Constant improves Polynomial Nets. ICLR 2022 - [c17]Elías Abad-Rocamora, Mehmet Fatih Sahin, Fanghui Liu, Grigorios Chrysos, Volkan Cevher:
Sound and Complete Verification of Polynomial Networks. NeurIPS 2022 - [c16]Yongtao Wu, Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher:
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study. NeurIPS 2022 - [c15]Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher:
Generalization Properties of NAS under Activation and Skip Connection Search. NeurIPS 2022 - [c14]Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher:
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization). NeurIPS 2022 - [i24]Zhenyu Zhu, Fabian Latorre, Grigorios G. Chrysos, Volkan Cevher:
Controlling the Complexity and Lipschitz Constant improves polynomial nets. CoRR abs/2202.05068 (2022) - [i23]Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher:
The Spectral Bias of Polynomial Neural Networks. CoRR abs/2202.13473 (2022) - [i22]Yongtao Wu, Grigorios G. Chrysos, Volkan Cevher:
Adversarial Audio Synthesis with Complex-valued Polynomial Networks. CoRR abs/2206.06811 (2022) - [i21]Elías Abad-Rocamora, Mehmet Fatih Sahin, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher:
Sound and Complete Verification of Polynomial Networks. CoRR abs/2209.07235 (2022) - [i20]Zhenyu Zhu, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher:
Generalization Properties of NAS under Activation and Skip Connection Search. CoRR abs/2209.07238 (2022) - [i19]Zhenyu Zhu, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher:
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization). CoRR abs/2209.07263 (2022) - [i18]Yongtao Wu, Zhenyu Zhu, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher:
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study. CoRR abs/2209.07736 (2022) - 2021
- [j8]Yannis Panagakis, Jean Kossaifi, Grigorios G. Chrysos, James Oldfield, Mihalis A. Nicolaou, Anima Anandkumar, Stefanos Zafeiriou:
Tensor Methods in Computer Vision and Deep Learning. Proc. IEEE 109(5): 863-890 (2021) - [c13]Francesca Babiloni, Ioannis Marras, Filippos Kokkinos, Jiankang Deng, Grigorios Chrysos, Stefanos Zafeiriou:
Poly-NL: Linear Complexity Non-local Layers With 3rd Order Polynomials. ICCV 2021: 10498-10508 - [c12]Grigorios G. Chrysos, Jean Kossaifi, Zhiding Yu, Anima Anandkumar:
Unsupervised Controllable Generation with Self-Training. IJCNN 2021: 1-8 - [c11]Grigorios Chrysos, Markos Georgopoulos, Yannis Panagakis:
Conditional Generation Using Polynomial Expansions. NeurIPS 2021: 28390-28404 - [i17]Grigorios G. Chrysos, Yannis Panagakis:
CoPE: Conditional image generation using Polynomial Expansions. CoRR abs/2104.05077 (2021) - [i16]Grigorios G. Chrysos, Markos Georgopoulos, Jiankang Deng, Yannis Panagakis:
Polynomial Networks in Deep Classifiers. CoRR abs/2104.07916 (2021) - [i15]Francesca Babiloni, Ioannis Marras, Filippos Kokkinos, Jiankang Deng, Grigorios Chrysos, Stefanos Zafeiriou:
Poly-NL: Linear Complexity Non-local Layers with Polynomials. CoRR abs/2107.02859 (2021) - [i14]Yannis Panagakis, Jean Kossaifi, Grigorios G. Chrysos, James Oldfield, Mihalis A. Nicolaou, Anima Anandkumar, Stefanos Zafeiriou:
Tensor Methods in Computer Vision and Deep Learning. CoRR abs/2107.03436 (2021) - [i13]Aleksandr Timofeev, Grigorios G. Chrysos, Volkan Cevher:
Self-Supervised Neural Architecture Search for Imbalanced Datasets. CoRR abs/2109.08580 (2021) - [i12]Markos Georgopoulos, James Oldfield, Grigorios G. Chrysos, Yannis Panagakis:
Cluster-guided Image Synthesis with Unconditional Models. CoRR abs/2112.12911 (2021) - 2020
- [b1]Grigorios Chrysos:
Polynomial function approximation and its application to deep generative models. Imperial College London, UK, 2020 - [j7]Grigorios G. Chrysos, Jean Kossaifi, Stefanos Zafeiriou:
RoCGAN: Robust Conditional GAN. Int. J. Comput. Vis. 128(10): 2665-2683 (2020) - [j6]Grigorios G. Chrysos, Yannis Panagakis:
NAPS: Non-adversarial polynomial synthesis. Pattern Recognit. Lett. 140: 318-324 (2020) - [c10]Grigorios G. Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Yannis Panagakis, Jiankang Deng, Stefanos Zafeiriou:
P-nets: Deep Polynomial Neural Networks. CVPR 2020: 7323-7333 - [c9]Ioannis Marras, Grigorios G. Chrysos, Ioannis Alexiou, Gregory G. Slabaugh, Stefanos Zafeiriou:
Reconstructing the Noise Variance Manifold for Image Denoising. ECCV (9) 2020: 622-639 - [c8]Markos Georgopoulos, Grigorios Chrysos, Maja Pantic, Yannis Panagakis:
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations. ICML 2020: 3442-3451 - [i11]Ioannis Marras, Grigorios G. Chrysos, Ioannis Alexiou, Gregory G. Slabaugh, Stefanos Zafeiriou:
Reconstructing the Noise Manifold for Image Denoising. CoRR abs/2002.04147 (2020) - [i10]Grigorios G. Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou:
Π-nets: Deep Polynomial Neural Networks. CoRR abs/2003.03828 (2020) - [i9]Grigorios Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou:
Deep Polynomial Neural Networks. CoRR abs/2006.13026 (2020) - [i8]Grigorios G. Chrysos, Jean Kossaifi, Zhiding Yu, Anima Anandkumar:
Unsupervised Controllable Generation with Self-Training. CoRR abs/2007.09250 (2020) - [i7]Markos Georgopoulos, Grigorios Chrysos, Maja Pantic, Yannis Panagakis:
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations. CoRR abs/2009.04075 (2020)
2010 – 2019
- 2019
- [j5]Jiankang Deng, Anastasios Roussos, Grigorios Chrysos, Evangelos Ververas, Irene Kotsia, Jie Shen, Stefanos Zafeiriou:
The Menpo Benchmark for Multi-pose 2D and 3D Facial Landmark Localisation and Tracking. Int. J. Comput. Vis. 127(6-7): 599-624 (2019) - [j4]Grigorios G. Chrysos, Paolo Favaro, Stefanos Zafeiriou:
Motion Deblurring of Faces. Int. J. Comput. Vis. 127(6-7): 801-823 (2019) - [c7]Grigorios G. Chrysos, Jean Kossaifi, Stefanos Zafeiriou:
Robust Conditional Generative Adversarial Networks. ICLR (Poster) 2019 - [i6]Grigorios Chrysos, Stylianos Moschoglou, Yannis Panagakis, Stefanos Zafeiriou:
PolyGAN: High-Order Polynomial Generators. CoRR abs/1908.06571 (2019) - 2018
- [j3]Grigorios G. Chrysos, Epameinondas Antonakos, Patrick Snape, Akshay Asthana, Stefanos Zafeiriou:
A Comprehensive Performance Evaluation of Deformable Face Tracking "In-the-Wild". Int. J. Comput. Vis. 126(2-4): 198-232 (2018) - [j2]Grigorios G. Chrysos, Stefanos Zafeiriou:
PD2T: Person-Specific Detection, Deformable Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 40(11): 2555-2568 (2018) - [j1]Grigorios G. Chrysos, Epameinondas Antonakos, Stefanos Zafeiriou:
IPST: Incremental Pictorial Structures for Model-Free Tracking of Deformable Objects. IEEE Trans. Image Process. 27(7): 3529-3540 (2018) - [i5]Grigorios G. Chrysos, Yannis Panagakis, Stefanos Zafeiriou:
Visual Data Augmentation through Learning. CoRR abs/1801.06665 (2018) - [i4]Grigorios G. Chrysos, Paolo Favaro, Stefanos Zafeiriou:
Motion deblurring of faces. CoRR abs/1803.03330 (2018) - [i3]Grigorios G. Chrysos, Jean Kossaifi, Stefanos Zafeiriou:
Robust Conditional Generative Adversarial Networks. CoRR abs/1805.08657 (2018) - 2017
- [c6]Grigorios G. Chrysos, Stefanos Zafeiriou:
Deep Face Deblurring. CVPR Workshops 2017: 2015-2024 - [c5]Stefanos Zafeiriou, George Trigeorgis, Grigorios Chrysos, Jiankang Deng, Jie Shen:
The Menpo Facial Landmark Localisation Challenge: A Step Towards the Solution. CVPR Workshops 2017: 2116-2125 - [c4]Stefanos Zafeiriou, Grigorios G. Chrysos, Anastasios Roussos, Evangelos Ververas, Jiankang Deng, George Trigeorgis:
The 3D Menpo Facial Landmark Tracking Challenge. ICCV Workshops 2017: 2503-2511 - [i2]Grigorios G. Chrysos, Stefanos Zafeiriou:
Deep Face Deblurring. CoRR abs/1704.08772 (2017) - 2016
- [i1]Grigorios G. Chrysos, Epameinondas Antonakos, Patrick Snape, Akshay Asthana, Stefanos Zafeiriou:
A Comprehensive Performance Evaluation of Deformable Face Tracking "In-the-Wild". CoRR abs/1603.06015 (2016) - 2015
- [c3]Siddhartha Chandra, Grigorios G. Chrysos, Iasonas Kokkinos:
Surface Based Object Detection in RGBD Images. BMVC 2015: 187.1-187.13 - [c2]Grigoris G. Chrysos, Epameinondas Antonakos, Stefanos Zafeiriou, Patrick Snape:
Offline Deformable Face Tracking in Arbitrary Videos. ICCV Workshops 2015: 954-962 - [c1]Jie Shen, Stefanos Zafeiriou, Grigoris G. Chrysos, Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic:
The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results. ICCV Workshops 2015: 1003-1011
Coauthor Index
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