Mensch, Arthur

14 publications

NeurIPS 2022 An Empirical Analysis of Compute-Optimal Large Language Model Training Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de Las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, Thomas Hennigan, Eric Noland, Katherine Millican, George van den Driessche, Bogdan Damoc, Aurelia Guy, Simon Osindero, Karén Simonyan, Erich Elsen, Oriol Vinyals, Jack Rae, Laurent Sifre

NeurIPS 2022 Flamingo: A Visual Language Model for Few-Shot Learning Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, Roman Ring, Eliza Rutherford, Serkan Cabi, Tengda Han, Zhitao Gong, Sina Samangooei, Marianne Monteiro, Jacob L Menick, Sebastian Borgeaud, Andy Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikołaj Bińkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, Karén Simonyan

ICML 2022 Improving Language Models by Retrieving from Trillions of Tokens Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George Bm Van Den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, Diego De Las Casas, Aurelia Guy, Jacob Menick, Roman Ring, Tom Hennigan, Saffron Huang, Loren Maggiore, Chris Jones, Albin Cassirer, Andy Brock, Michela Paganini, Geoffrey Irving, Oriol Vinyals, Simon Osindero, Karen Simonyan, Jack Rae, Erich Elsen, Laurent Sifre

ICML 2022 Unified Scaling Laws for Routed Language Models Aidan Clark, Diego De Las Casas, Aurelia Guy, Arthur Mensch, Michela Paganini, Jordan Hoffmann, Bogdan Damoc, Blake Hechtman, Trevor Cai, Sebastian Borgeaud, George Bm Van Den Driessche, Eliza Rutherford, Tom Hennigan, Matthew J Johnson, Albin Cassirer, Chris Jones, Elena Buchatskaya, David Budden, Laurent Sifre, Simon Osindero, Oriol Vinyals, Marc’Aurelio Ranzato, Jack Rae, Erich Elsen, Koray Kavukcuoglu, Karen Simonyan

AISTATS 2021 Differentiable Divergences Between Time Series Mathieu Blondel, Arthur Mensch, Jean-Philippe Vert

NeurIPS 2020 A Mean-Field Analysis of Two-Player Zero-Sum Games Carles Domingo-Enrich, Samy Jelassi, Arthur Mensch, Grant Rotskoff, Joan Bruna

ICML 2020 Extra-Gradient with Player Sampling for Faster Convergence in N-Player Games Samy Jelassi, Carles Domingo-Enrich, Damien Scieur, Arthur Mensch, Joan Bruna

NeurIPS 2020 Online Sinkhorn: Optimal Transport Distances from Sample Streams Arthur Mensch, Gabriel Peyré

ICML 2019 Geometric Losses for Distributional Learning Arthur Mensch, Mathieu Blondel, Gabriel Peyré

NeurIPSW 2019 What’s in a Functional Brain Parcellation? Gaël Varoquaux, Kamalakar Dadi, Arthur Mensch

ICML 2018 Differentiable Dynamic Programming for Structured Prediction and Attention Arthur Mensch, Mathieu Blondel

NeurIPS 2017 Learning Neural Representations of Human Cognition Across Many fMRI Studies Arthur Mensch, Julien Mairal, Danilo Bzdok, Bertrand Thirion, Gael Varoquaux

ICML 2016 Dictionary Learning for Massive Matrix Factorization Arthur Mensch, Julien Mairal, Bertrand Thirion, Gael Varoquaux

NeurIPS 2016 Learning Brain Regions via Large-Scale Online Structured Sparse Dictionary Learning Elvis Dohmatob, Arthur Mensch, Gael Varoquaux, Bertrand Thirion