
Arthur Mensch
25
Documents
Publications
Publications
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Extragradient with player sampling for faster Nash equilibrium findingProceedings of the International Conference on Machine Learning, 2020, Vienna, Austria
Communication dans un congrès
hal-02142598
v5
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Geometric Losses for Distributional LearningProceedings of the International Conference on Machine Learning, 2019, Long Beach, United States
Communication dans un congrès
hal-02129281
v1
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Differentiable Dynamic Programming for Structured Prediction and Attention35th International Conference on Machine Learning, Jul 2018, Stockholm, Sweden
Communication dans un congrès
hal-01809550
v2
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Learning Neural Representations of Human Cognition across Many fMRI StudiesNeural Information Processing Systems, Dec 2017, Long Beach, United States
Communication dans un congrès
hal-01626823
v3
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Compressed Online Dictionary Learning for Fast Resting-State fMRI DecompositionInternational Symposium on Biomedical Imaging, IEEE, Apr 2016, Prague, Czech Republic. pp.1282-1285, ⟨10.1109/ISBI.2016.7493501⟩
Communication dans un congrès
hal-01271033
v2
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Dictionary Learning for Massive Matrix FactorizationInternational Conference on Machine Learning, Jun 2016, New York, United States. pp.1737-1746
Communication dans un congrès
hal-01308934
v2
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Subsampled online matrix factorization with convergence guaranteesNIPS Workshop on Optimization for Machine Learning, Dec 2016, Barcelone, Spain
Communication dans un congrès
hal-01405058
v1
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Learning brain regions via large-scale online structured sparse dictionary-learningNeural Information Processing Systems (NIPS), Dec 2016, Barcelona, Spain
Communication dans un congrès
hal-01369134
v3
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Fine-grain atlases of functional modes for fMRI analysis2020
Pré-publication, Document de travail
hal-02496156
v1
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Online Sinkhorn: Optimal Transport distances from sample streams2020
Pré-publication, Document de travail
hal-02495581
v2
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IA : Notre Ambition Pour La FranceGouvernement Français. 2024
Rapport
(rapport d’expertise collective)
hal-04825691
v1
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Learning representations from functional MRI dataMachine Learning [stat.ML]. Université Paris Saclay (COmUE), 2018. English. ⟨NNT : 2018SACLS300⟩
Thèse
tel-01891633
v1
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