Jean Kossaifi

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 60

Top Topics

Polynomial Neural Networks

Appearance Model

Tensor Decomposition

Pose Estimation

Top Venues

Publications

Md Ashiqur Rahman, Robert Joseph George, Mogab Elleithy, Daniel V. Leibovici, Zongyi Li, Boris Bonev, Colin White, Julius Berner, Raymond A. Yeh, Jean Kossaifi, Kamyar Azizzadenesheli, Anima Anandkumar
Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs. CoRR (2024)
Renbo Tu, Colin White, Jean Kossaifi, Boris Bonev, Gennady Pekhimenko, Kamyar Azizzadenesheli, Anima Anandkumar
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators. ICLR (2024)
Minkai Xu, Jiaqi Han, Aaron Lou, Jean Kossaifi, Arvind Ramanathan, Kamyar Azizzadenesheli, Jure Leskovec, Stefano Ermon, Anima Anandkumar
Equivariant Graph Neural Operator for Modeling 3D Dynamics. CoRR (2024)
Jean Kossaifi, Nikola B. Kovachki, Kamyar Azizzadenesheli, Anima Anandkumar
Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs. CoRR (2023)
Jae Hyun Lim, Nikola B. Kovachki, Ricardo Baptista, Christopher Beckham, Kamyar Azizzadenesheli, Jean Kossaifi, Vikram Voleti, Jiaming Song, Karsten Kreis, Jan Kautz, Christopher Pal, Arash Vahdat, Anima Anandkumar
Score-based Diffusion Models in Function Space. CoRR (2023)
Zongyi Li, Nikola Borislavov Kovachki, Christopher B. Choy, Boyi Li, Jean Kossaifi, Shourya Prakash Otta, Mohammad Amin Nabian, Maximilian Stadler, Christian Hundt, Kamyar Azizzadenesheli, Anima Anandkumar
Geometry-Informed Neural Operator for Large-Scale 3D PDEs. CoRR (2023)
Kamyar Azizzadenesheli, Nikola B. Kovachki, Zongyi Li, Miguel Liu-Schiaffini, Jean Kossaifi, Anima Anandkumar
Neural Operators for Accelerating Scientific Simulations and Design. CoRR (2023)
Zongyi Li, Nikola B. Kovachki, Christopher B. Choy, Boyi Li, Jean Kossaifi, Shourya Prakash Otta, Mohammad Amin Nabian, Maximilian Stadler, Christian Hundt, Kamyar Azizzadenesheli, Animashree Anandkumar
Geometry-Informed Neural Operator for Large-Scale 3D PDEs. NeurIPS (2023)
Colin White, Renbo Tu, Jean Kossaifi, Gennady Pekhimenko, Kamyar Azizzadenesheli, Anima Anandkumar
Speeding up Fourier Neural Operators via Mixed Precision. CoRR (2023)
Taylor L. Patti, Jean Kossaifi, Anima Anandkumar, Susanne F. Yelin
Quantum Goemans-Williamson Algorithm with the Hadamard Test and Approximate Amplitude Constraints. Quantum 7 (2023)
Jiaqi Gu, Ben Keller, Jean Kossaifi, Anima Anandkumar, Brucek Khailany, David Z. Pan
HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression. 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)
Antoine Toisoul, Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos, Maja Pantic
Estimation of continuous valence and arousal levels from faces in naturalistic conditions. Nat. Mach. Intell. 3 (1) (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)
Adrian Bulat, Jean Kossaifi, Sourav Bhattacharya, Yannis Panagakis, Timothy M. Hospedales, Georgios Tzimiropoulos, Nicholas D. Lane, Maja Pantic
Defensive Tensorization. BMVC (2021)
Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning. ICML (2021)
Jean Kossaifi, Robert Walecki, Yannis Panagakis, Jie Shen, Maximilian Schmitt, Fabien Ringeval, Jing Han, Vedhas Pandit, Antoine Toisoul, Björn W. Schuller, Kam Star, Elnar Hajiyev, Maja Pantic
SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild. IEEE Trans. Pattern Anal. Mach. Intell. 43 (3) (2021)
Adrian Bulat, Jean Kossaifi, Sourav Bhattacharya, Yannis Panagakis, Timothy M. Hospedales, Georgios Tzimiropoulos, Nicholas D. Lane, Maja Pantic
Defensive Tensorization. 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)
Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning. CoRR (2021)
Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Anima Anandkumar, Zhangyang Wang
AugMax: Adversarial Composition of Random Augmentations for Robust Training. CoRR (2021)
Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar
Reinforcement Learning in Factored Action Spaces using Tensor Decompositions. CoRR (2021)
Arinbjörn Kolbeinsson, Jean Kossaifi, Yannis Panagakis, Adrian Bulat, Animashree Anandkumar, Ioanna Tzoulaki, Paul M. Matthews
Tensor Dropout for Robust Learning. IEEE J. Sel. Top. Signal Process. 15 (3) (2021)
Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Anima Anandkumar, Zhangyang Wang
AugMax: Adversarial Composition of Random Augmentations for Robust Training. NeurIPS (2021)
Jean Kossaifi, Zachary C. Lipton, Arinbjörn Kolbeinsson, Aran Khanna, Tommaso Furlanello, Anima Anandkumar
Tensor Regression Networks. J. Mach. Learn. Res. 21 (2020)
Grigorios G. Chrysos, Jean Kossaifi, Zhiding Yu, Anima Anandkumar
Unsupervised Controllable Generation with Self-Training. CoRR (2020)
Adrian Bulat, Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic
Toward fast and accurate human pose estimation via soft-gated skip connections. FG (2020)
Jiahao Su, Wonmin Byeon, Jean Kossaifi, Furong Huang, Jan Kautz, Anima Anandkumar
Convolutional Tensor-Train LSTM for Spatio-Temporal Learning. NeurIPS (2020)
Grigorios G. Chrysos, Jean Kossaifi, Stefanos Zafeiriou
RoCGAN: Robust Conditional GAN. Int. J. Comput. Vis. 128 (10) (2020)
Triantafyllos Kefalas, Konstantinos Vougioukas, Yannis Panagakis, Stavros Petridis, Jean Kossaifi, Maja Pantic
Speech-Driven Facial Animation Using Polynomial Fusion of Features. ICASSP (2020)
Jean Kossaifi, Antoine Toisoul, Adrian Bulat, Yannis Panagakis, Timothy M. Hospedales, Maja Pantic
Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation. CVPR (2020)
Adrian Bulat, Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic
Incremental Multi-Domain Learning with Network Latent Tensor Factorization. AAAI (2020)
Majid Janzamin, Rong Ge, Jean Kossaifi, Anima Anandkumar
Spectral Learning on Matrices and Tensors. CoRR (2020)
Adrian Bulat, Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic
Toward fast and accurate human pose estimation via soft-gated skip connections. CoRR (2020)
Grigorios G. Chrysos, Jean Kossaifi, Stefanos Zafeiriou
Robust Conditional Generative Adversarial Networks. ICLR (Poster) (2019)
Linh Tran, Jean Kossaifi, Yannis Panagakis, Maja Pantic
Disentangling Geometry and Appearance with Regularised Geometry-Aware Generative Adversarial Networks. Int. J. Comput. Vis. 127 (6-7) (2019)
Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos, Maja Pantic
T-Net: Parametrizing Fully Convolutional Nets With a Single High-Order Tensor. CVPR (2019)
Majid Janzamin, Rong Ge, Jean Kossaifi, Anima Anandkumar
Spectral Learning on Matrices and Tensors. Found. Trends Mach. Learn. 12 (5-6) (2019)
Adrian Bulat, Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic
Matrix and tensor decompositions for training binary neural networks. CoRR (2019)
Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos, Maja Pantic
T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor. CoRR (2019)
Jean Kossaifi, Robert Walecki, Yannis Panagakis, Jie Shen, Maximilian Schmitt, Fabien Ringeval, Jing Han, Vedhas Pandit, Björn W. Schuller, Kam Star, Elnar Hajiyev, Maja Pantic
SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild. CoRR (2019)
Adrian Bulat, Georgios Tzimiropoulos, Jean Kossaifi, Maja Pantic
Improved training of binary networks for human pose estimation and image recognition. CoRR (2019)
Arinbjörn Kolbeinsson, Jean Kossaifi, Yannis Panagakis, Anima Anandkumar, Ioanna Tzoulaki, Paul M. Matthews
Stochastically Rank-Regularized Tensor Regression Networks. CoRR (2019)
Triantafyllos Kefalas, Konstantinos Vougioukas, Yannis Panagakis, Stavros Petridis, Jean Kossaifi, Maja Pantic
Speech-driven facial animation using polynomial fusion of features. CoRR (2019)
Jean Kossaifi, Yannis Panagakis, Anima Anandkumar, Maja Pantic
TensorLy: Tensor Learning in Python. J. Mach. Learn. Res. 20 (2019)
Anna Mitenkova, Jean Kossaifi, Yannis Panagakis, Maja Pantic
Valence and Arousal Estimation In-The-Wild with Tensor Methods. FG (2019)
Adrian Bulat, Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic
Incremental multi-domain learning with network latent tensor factorization. CoRR (2019)
Jean Kossaifi, Adrian Bulat, Yannis Panagakis, Maja Pantic
Efficient N-Dimensional Convolutions via Higher-Order Factorization. CoRR (2019)
Jean Kossaifi, Linh Tran, Yannis Panagakis, Maja Pantic
GAGAN: Geometry-Aware Generative Adversarial Networks. CVPR (2018)
Guneet S. Dhillon, Kamyar Azizzadenesheli, Zachary C. Lipton, Jeremy Bernstein, Jean Kossaifi, Aran Khanna, Anima Anandkumar
Stochastic Activation Pruning for Robust Adversarial Defense. CoRR (2018)
Guneet S. Dhillon, Kamyar Azizzadenesheli, Zachary C. Lipton, Jeremy Bernstein, Jean Kossaifi, Aran Khanna, Animashree Anandkumar
Stochastic Activation Pruning for Robust Adversarial Defense. ICLR (Poster) (2018)
Grigorios G. Chrysos, Jean Kossaifi, Stefanos Zafeiriou
Robust Conditional Generative Adversarial Networks. CoRR (2018)
Jean Kossaifi, Georgios Tzimiropoulos, Sinisa Todorovic, Maja Pantic
AFEW-VA database for valence and arousal estimation in-the-wild. Image Vis. Comput. 65 (2017)
Jean Kossaifi, Aran Khanna, Zachary C. Lipton, Tommaso Furlanello, Anima Anandkumar
Tensor Contraction Layers for Parsimonious Deep Nets. CoRR (2017)
Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic
Fast and Exact Newton and Bidirectional Fitting of Active Appearance Models. IEEE Trans. Image Process. 26 (2) (2017)
Jean Kossaifi, Zachary C. Lipton, Aran Khanna, Tommaso Furlanello, Anima Anandkumar
Tensor Regression Networks. CoRR (2017)
Jean Kossaifi, Aran Khanna, Zachary Lipton, Tommaso Furlanello, Anima Anandkumar
Tensor Contraction Layers for Parsimonious Deep Nets. CVPR Workshops (2017)
Jean Kossaifi, Linh Tran, Yannis Panagakis, Maja Pantic
GAGAN: Geometry-Aware Generative Adversarial Networks. CoRR (2017)
Jean Kossaifi, Yannis Panagakis, Maja Pantic
TensorLy: Tensor Learning in Python. CoRR (2016)
Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic
Fast and exact bi-directional fitting of active appearance models. ICIP (2015)
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)
Alexandre Abraham, Fabian Pedregosa, Michael Eickenberg, Philippe Gervais, Andreas Mueller, Jean Kossaifi, Alexandre Gramfort, Bertrand Thirion, Gaël Varoquaux
Machine Learning for Neuroimaging with Scikit-Learn. CoRR (2014)
Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic
Fast Newton active appearance models. ICIP (2014)
Alexandre Abraham, Fabian Pedregosa, Michael Eickenberg, Philippe Gervais, Andreas Mueller, Jean Kossaifi, Alexandre Gramfort, Bertrand Thirion, Gaël Varoquaux
Machine learning for neuroimaging with scikit-learn. Frontiers Neuroinformatics 8 (2014)