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Julien Mairal

Thoth, Inria, UGA, CNRS, Grenoble INP, LJK

Learning Reward Functions for Robotic Manipulation by Observing Humans


Nov 16, 2022
Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal, Jean Ponce, Cordelia Schmid

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Entropic Descent Archetypal Analysis for Blind Hyperspectral Unmixing


Sep 26, 2022
Alexandre Zouaoui, Gedeon Muhawenayo, Behnood Rasti, Jocelyn Chanussot, Julien Mairal

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High Dynamic Range and Super-Resolution from Raw Image Bursts


Jul 29, 2022
Bruno Lecouat, Thomas Eboli, Jean Ponce, Julien Mairal

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* Accepted to Siggraph 2022 Technical Papers program 

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Self Supervised Learning for Few Shot Hyperspectral Image Classification


Jun 24, 2022
Nassim Ait Ali Braham, Lichao Mou, Jocelyn Chanussot, Julien Mairal, Xiao Xiang Zhu

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* Accepted in IGARSS 2022 

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On the Benefits of Large Learning Rates for Kernel Methods


Feb 28, 2022
Gaspard Beugnot, Julien Mairal, Alessandro Rudi

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* 23 pages, 5 figures 

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The Spectral Bias of Polynomial Neural Networks


Feb 27, 2022
Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher

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* Accepted at the International Conference on Learning Representations(ICLR) 2022 

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Efficient Kernel UCB for Contextual Bandits


Feb 11, 2022
Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard

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* To appear at AISTATS2022 

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Self-Supervised Models are Continual Learners


Dec 08, 2021
Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal

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Amortized Implicit Differentiation for Stochastic Bilevel Optimization


Nov 30, 2021
Michael Arbel, Julien Mairal

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A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration


Nov 18, 2021
Théo Bodrito, Alexandre Zouaoui, Jocelyn Chanussot, Julien Mairal

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* 2021 Conference on Neural Information Processing Systems, Dec 2021, Sydney, Australia 

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