Grigorios Chrysos

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 32

Top Topics

Integer Linear Programming

Polynomial Neural Networks

Linear Complexity

Facial Expression Analysis

Top Venues

Trans. Mach. Learn. Res.

Publications

Yihang Chen, Fanghui Liu, Yiping Lu, Grigorios Chrysos, Volkan Cevher
Generalization of Scaled Deep ResNets in the Mean-Field Regime. ICLR (2024)
Arshia Afzal, Grigorios Chrysos, Volkan Cevher, Mahsa Shoaran
REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates. CoRR (2024)
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)
Yixin Cheng, Grigorios Chrysos, Markos Georgopoulos, Volkan Cevher
Multilinear Operator Networks. ICLR (2024)
Pol Puigdemont, Stratis Skoulakis, Grigorios Chrysos, Volkan Cevher
Learning to Remove Cuts in Integer Linear Programming. CoRR (2024)
Justin Deschenaux, Igor Krawczuk, Grigorios Chrysos, Volkan Cevher
Going beyond compositional generalization, DDPMs can produce zero-shot interpolation. CoRR (2024)
Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel, Grigorios Chrysos, Volkan Cevher
Robust NAS under adversarial training: benchmark, theory, and beyond. ICLR (2024)
Elías Abad-Rocamora, Fanghui Liu, Grigorios Chrysos, Pablo M. Olmos, Volkan Cevher
Efficient local linearity regularization to overcome catastrophic overfitting. ICLR (2024)
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) (2023)
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)
Ali Ramezani-Kebrya, Fanghui Liu, Thomas Pethick, Grigorios Chrysos, Volkan Cevher
Federated Learning under Covariate Shifts with Generalization Guarantees. CoRR (2023)
Lorenzo Brusca, Lars C. P. M. Quaedvlieg, Stratis Skoulakis, Grigorios Chrysos, Volkan Cevher
Maximum Independent Set: Self-Training through Dynamic Programming. NeurIPS (2023)
Yongtao Wu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
On the Convergence of Encoder-only Shallow Transformers. NeurIPS (2023)
Thomas Pethick, Grigorios Chrysos, Volkan Cevher
Revisiting adversarial training for the worst-performing class. Trans. Mach. Learn. Res. 2023 (2023)
Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Francesco Locatello, Volkan Cevher
Benign Overfitting in Deep Neural Networks under Lazy Training. ICML (2023)
Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher
The Spectral Bias of Polynomial Neural Networks. ICLR (2022)
Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
Generalization Properties of NAS under Activation and Skip Connection Search. NeurIPS (2022)
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)
Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization). NeurIPS (2022)
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)
Elías Abad-Rocamora, Mehmet Fatih Sahin, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
Sound and Complete Verification of Polynomial Networks. NeurIPS (2022)
Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher
The Spectral Bias of Polynomial Neural Networks. CoRR (2022)
Zhenyu Zhu, Fabian Latorre, Grigorios Chrysos, Volkan Cevher
Controlling the Complexity and Lipschitz Constant improves Polynomial Nets. ICLR (2022)
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)
Francesca Babiloni, Ioannis Marras, Filippos Kokkinos, Jiankang Deng, Grigorios Chrysos, Stefanos Zafeiriou
Poly-NL: Linear Complexity Non-local Layers with Polynomials. CoRR (2021)
Grigorios Chrysos, Markos Georgopoulos, Yannis Panagakis
Conditional Generation Using Polynomial Expansions. NeurIPS (2021)
Grigorios Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou
Deep Polynomial Neural Networks. CoRR (2020)
Markos Georgopoulos, Grigorios Chrysos, Maja Pantic, Yannis Panagakis
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations. ICML (2020)
Markos Georgopoulos, Grigorios Chrysos, Maja Pantic, Yannis Panagakis
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations. CoRR (2020)
Grigorios Chrysos, Stylianos Moschoglou, Yannis Panagakis, Stefanos Zafeiriou
PolyGAN: High-Order Polynomial Generators. CoRR (2019)
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) (2019)
Stefanos Zafeiriou, George Trigeorgis, Grigorios Chrysos, Jiankang Deng, Jie Shen
The Menpo Facial Landmark Localisation Challenge: A Step Towards the Solution. CVPR Workshops (2017)