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Jean Kossaifi

NEUROSPIN, LTCI

Reinforcement Learning in Factored Action Spaces using Tensor Decompositions


Oct 27, 2021
Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar

* 2nd Workshop on Quantum Tensor Networks in Machine Learning (NeurIPS 2021) 

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Defensive Tensorization


Oct 26, 2021
Adrian Bulat, Jean Kossaifi, Sourav Bhattacharya, Yannis Panagakis, Timothy Hospedales, Georgios Tzimiropoulos, Nicholas D Lane, Maja Pantic

* To be presented at BMVC 2021 

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AugMax: Adversarial Composition of Random Augmentations for Robust Training


Oct 26, 2021
Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Anima Anandkumar, Zhangyang Wang

* NeurIPS, 2021 

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Tensor Methods in Computer Vision and Deep Learning


Jul 07, 2021
Yannis Panagakis, Jean Kossaifi, Grigorios G. Chrysos, James Oldfield, Mihalis A. Nicolaou, Anima Anandkumar, Stefanos Zafeiriou

* Proceedings of the IEEE (2021) 

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Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning


May 31, 2021
Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar

* 38th International Conference on Machine Learning, PMLR 139, 2021 

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Unsupervised Controllable Generation with Self-Training


Jul 17, 2020
Grigorios G Chrysos, Jean Kossaifi, Zhiding Yu, Anima Anandkumar


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Spectral Learning on Matrices and Tensors


Apr 16, 2020
Majid Janzamin, Rong Ge, Jean Kossaifi, Anima Anandkumar

* Foundations and Trends in Machine Learning: Vol. 12: No. 5-6, pp 393-536 (2019) 

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Toward fast and accurate human pose estimation via soft-gated skip connections


Feb 25, 2020
Adrian Bulat, Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic

* Accepted to FG 2020 (oral) 

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Speech-driven facial animation using polynomial fusion of features


Dec 12, 2019
Triantafyllos Kefalas, Konstantinos Vougioukas, Yannis Panagakis, Stavros Petridis, Jean Kossaifi, Maja Pantic


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Efficient N-Dimensional Convolutions via Higher-Order Factorization


Jun 14, 2019
Jean Kossaifi, Adrian Bulat, Yannis Panagakis, Maja Pantic


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Matrix and tensor decompositions for training binary neural networks


Apr 16, 2019
Adrian Bulat, Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic


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Incremental multi-domain learning with network latent tensor factorization


Apr 12, 2019
Adrian Bulat, Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic


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Improved training of binary networks for human pose estimation and image recognition


Apr 11, 2019
Adrian Bulat, Georgios Tzimiropoulos, Jean Kossaifi, Maja Pantic


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T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor


Apr 04, 2019
Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos, Maja Pantic

* CVPR 2019 

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Stochastically Rank-Regularized Tensor Regression Networks


Feb 27, 2019
Arinbjörn Kolbeinsson, Jean Kossaifi, Yannis Panagakis, Anima Anandkumar, Ioanna Tzoulaki, Paul Matthews


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SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild


Jan 09, 2019
Jean Kossaifi, Robert Walecki, Yannis Panagakis, Jie Shen, Maximilian Schmitt, Fabien Ringeval, Jing Han, Vedhas Pandit, Bjorn Schuller, Kam Star, Elnar Hajiyev, Maja Pantic


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Tensor Regression Networks


Jul 24, 2018
Jean Kossaifi, Zachary C. Lipton, Aran Khanna, Tommaso Furlanello, Anima Anandkumar


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Robust Conditional Generative Adversarial Networks


May 22, 2018
Grigorios G. Chrysos, Jean Kossaifi, Stefanos Zafeiriou


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TensorLy: Tensor Learning in Python


May 09, 2018
Jean Kossaifi, Yannis Panagakis, Anima Anandkumar, Maja Pantic


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GAGAN: Geometry-Aware Generative Adversarial Networks


Mar 27, 2018
Jean Kossaifi, Linh Tran, Yannis Panagakis, Maja Pantic


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Stochastic Activation Pruning for Robust Adversarial Defense


Mar 05, 2018
Guneet S. Dhillon, Kamyar Azizzadenesheli, Zachary C. Lipton, Jeremy Bernstein, Jean Kossaifi, Aran Khanna, Anima Anandkumar

* ICLR 2018 

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Tensor Contraction Layers for Parsimonious Deep Nets


Jun 01, 2017
Jean Kossaifi, Aran Khanna, Zachary C. Lipton, Tommaso Furlanello, Anima Anandkumar


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Machine Learning for Neuroimaging with Scikit-Learn


Dec 12, 2014
Alexandre Abraham, Fabian Pedregosa, Michael Eickenberg, Philippe Gervais, Andreas Muller, Jean Kossaifi, Alexandre Gramfort, Bertrand Thirion, Gäel Varoquaux

* Frontiers in neuroscience, Frontiers Research Foundation, 2013, pp.15 

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