Grigorios G. Chrysos

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 51

Top Topics

Polynomial Neural Networks

Independent Set

Tensor Decomposition

Image Generation

Top Venues

Int. J. Comput. Vis.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Elías Abad-Rocamora, Fanghui Liu, Grigorios G. Chrysos, Pablo M. Olmos, Volkan Cevher
Efficient local linearity regularization to overcome catastrophic overfitting. CoRR (2024)
Sonam Gupta, Snehal Singh Tomar, Grigorios G. Chrysos, Sukhendu Das, A. N. Rajagopalan
PNeRV: A Polynomial Neural Representation for Videos. CoRR (2024)
Yihang Chen, Fanghui Liu, Yiping Lu, Grigorios G. Chrysos, Volkan Cevher
Generalization of Scaled Deep ResNets in the Mean-Field Regime. CoRR (2024)
Aggelina Chatziagapi, Grigorios G. Chrysos, Dimitris Samaras
MI-NeRF: Learning a Single Face NeRF from Multiple Identities. CoRR (2024)
Aggelina Chatziagapi, Grigorios G. Chrysos, Dimitris Samaras
MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition. CoRR (2024)
Elías Abad-Rocamora, Yongtao Wu, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher
Revisiting character-level adversarial attacks. CoRR (2024)
Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel, Grigorios G. Chrysos, Volkan Cevher
Robust NAS under adversarial training: benchmark, theory, and beyond. CoRR (2024)
Yixin Cheng, Markos Georgopoulos, Volkan Cevher, Grigorios G. Chrysos
Leveraging the Context through Multi-Round Interactions for Jailbreaking Attacks. CoRR (2024)
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 (2024)
Yixin Cheng, Grigorios G. Chrysos, Markos Georgopoulos, Volkan Cevher
Multilinear Operator Networks. CoRR (2024)
Yongtao Wu, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher
On the Convergence of Encoder-only Shallow Transformers. CoRR (2023)
Grigorios G. Chrysos, Bohan Wang, Jiankang Deng, Volkan Cevher
Regularization of polynomial networks for image recognition. CVPR (2023)
Zhenyu Zhu, Fanghui Liu, Grigorios G. Chrysos, Francesco Locatello, Volkan Cevher
Benign Overfitting in Deep Neural Networks under Lazy Training. CoRR (2023)
Thomas Pethick, Grigorios G. Chrysos, Volkan Cevher
Revisiting adversarial training for the worst-performing class. CoRR (2023)
Lorenzo Brusca, Lars C. P. M. Quaedvlieg, Stratis Skoulakis, Grigorios G. Chrysos, Volkan Cevher
Maximum Independent Set: Self-Training through Dynamic Programming. CoRR (2023)
Grigorios G. Chrysos, Bohan Wang, Jiankang Deng, Volkan Cevher
Regularization of polynomial networks for image recognition. CoRR (2023)
Zhenyu Zhu, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization). CoRR (2022)
Markos Georgopoulos, James Oldfield, Grigorios G. Chrysos, Yannis Panagakis
Cluster-guided Image Synthesis with Unconditional Models. CVPR (2022)
Yongtao Wu, Grigorios G. Chrysos, Volkan Cevher
Adversarial Audio Synthesis with Complex-valued Polynomial Networks. CoRR (2022)
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) (2022)
Zhenyu Zhu, Fabian Latorre, Grigorios G. Chrysos, Volkan Cevher
Controlling the Complexity and Lipschitz Constant improves polynomial nets. CoRR (2022)
Zhenyu Zhu, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher
Generalization Properties of NAS under Activation and Skip Connection Search. CoRR (2022)
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 (2022)
Elías Abad-Rocamora, Mehmet Fatih Sahin, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher
Sound and Complete Verification of Polynomial Networks. CoRR (2022)
Grigorios G. Chrysos, Markos Georgopoulos, Jiankang Deng, Jean Kossaifi, Yannis Panagakis, Anima Anandkumar
Augmenting Deep Classifiers with Polynomial Neural Networks. ECCV (25) (2022)
Grigorios G. Chrysos, Jean Kossaifi, Zhiding Yu, Anima Anandkumar
Unsupervised Controllable Generation with Self-Training. IJCNN (2021)
Grigorios G. Chrysos, Yannis Panagakis
CoPE: Conditional image generation using Polynomial Expansions. CoRR (2021)
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 (2021)
Grigorios G. Chrysos, Markos Georgopoulos, Jiankang Deng, Yannis Panagakis
Polynomial Networks in Deep Classifiers. CoRR (2021)
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) (2021)
Aleksandr Timofeev, Grigorios G. Chrysos, Volkan Cevher
Self-Supervised Neural Architecture Search for Imbalanced Datasets. CoRR (2021)
Markos Georgopoulos, James Oldfield, Grigorios G. Chrysos, Yannis Panagakis
Cluster-guided Image Synthesis with Unconditional Models. CoRR (2021)
Grigorios G. Chrysos, Jean Kossaifi, Zhiding Yu, Anima Anandkumar
Unsupervised Controllable Generation with Self-Training. CoRR (2020)
Grigorios G. Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Yannis Panagakis, Jiankang Deng, Stefanos Zafeiriou
P-nets: Deep Polynomial Neural Networks. CVPR (2020)
Grigorios G. Chrysos, Jean Kossaifi, Stefanos Zafeiriou
RoCGAN: Robust Conditional GAN. Int. J. Comput. Vis. 128 (10) (2020)
Ioannis Marras, Grigorios G. Chrysos, Ioannis Alexiou, Gregory G. Slabaugh, Stefanos Zafeiriou
Reconstructing the Noise Manifold for Image Denoising. CoRR (2020)
Ioannis Marras, Grigorios G. Chrysos, Ioannis Alexiou, Gregory G. Slabaugh, Stefanos Zafeiriou
Reconstructing the Noise Variance Manifold for Image Denoising. ECCV (9) (2020)
Grigorios G. Chrysos, Yannis Panagakis
NAPS: Non-adversarial polynomial synthesis. Pattern Recognit. Lett. 140 (2020)
Grigorios G. Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou
Π-nets: Deep Polynomial Neural Networks. CoRR (2020)
Grigorios G. Chrysos, Jean Kossaifi, Stefanos Zafeiriou
Robust Conditional Generative Adversarial Networks. ICLR (Poster) (2019)
Grigorios G. Chrysos, Paolo Favaro, Stefanos Zafeiriou
Motion Deblurring of Faces. Int. J. Comput. Vis. 127 (6-7) (2019)
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) (2018)
Grigorios G. Chrysos, Paolo Favaro, Stefanos Zafeiriou
Motion deblurring of faces. CoRR (2018)
Grigorios G. Chrysos, Yannis Panagakis, Stefanos Zafeiriou
Visual Data Augmentation through Learning. CoRR (2018)
Grigorios G. Chrysos, Stefanos Zafeiriou
T: Person-Specific Detection, Deformable Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 40 (11) (2018)
Grigorios G. Chrysos, Epameinondas Antonakos, Stefanos Zafeiriou
IPST: Incremental Pictorial Structures for Model-Free Tracking of Deformable Objects. IEEE Trans. Image Process. 27 (7) (2018)
Grigorios G. Chrysos, Jean Kossaifi, Stefanos Zafeiriou
Robust Conditional Generative Adversarial Networks. CoRR (2018)
Grigorios G. Chrysos, Stefanos Zafeiriou
Deep Face Deblurring. CoRR (2017)
Grigorios G. Chrysos, Stefanos Zafeiriou
Deep Face Deblurring. CVPR Workshops (2017)
Stefanos Zafeiriou, Grigorios G. Chrysos, Anastasios Roussos, Evangelos Ververas, Jiankang Deng, George Trigeorgis
The 3D Menpo Facial Landmark Tracking Challenge. ICCV Workshops (2017)
Grigorios G. Chrysos, Epameinondas Antonakos, Patrick Snape, Akshay Asthana, Stefanos Zafeiriou
A Comprehensive Performance Evaluation of Deformable Face Tracking "In-the-Wild". CoRR (2016)
Siddhartha Chandra, Grigorios G. Chrysos, Iasonas Kokkinos
Surface Based Object Detection in RGBD Images. BMVC (2015)