Deep learning

Publication

Is forgetting less a good inductive bias for forward transfer?

Arslan Chaudhry, Jiefeng Chen, Timothy Nguyen, Dilan Gorur

ICLR

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Learning rigid dynamics with face interaction graph networks

Kelsey Allen, Yulia Rubanova, Tatiana Guevara, Will Whitney, Alvaro Sanchez, Peter Battaglia, Tobias Pfaff

arXiv

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Learning rigid dynamics with face interaction graph networks

Kelsey Allen, Yulia Rubanova, Tatiana Guevara, Will Whitney, Alvaro Sanchez, Peter Battaglia, Tobias Pfaff

arXiv

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Continuous diffusion for categorical data

Sander Dieleman, Laurent Sartran, Arman Roshannai *, Nikolay Savinov, Yaroslav Ganin, Pierre Harvey Richemond, Arnaud Doucet, Robin Strudel *, Chris Dyer, Conor Durkan, Curtis Hawthorne *, Rémi Leblond, Will Grathwohl, Jonas Adler

arXiv

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Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Deep Equilibrium Networks

Luke Marris, Ian Gemp, Thomas Anthony, Andrea Tacchetti, Siqi Liu, Karl Tuyls

NeurIPS

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Inverse Design for Fluid-Structure Interactions using Graph Network Simulators

Kelsey Allen, Tatiana Guevara, Kimberly Stachenfeld, Alvaro Sanchez, Peter Battaglia, Jessica Hamrick, Tobias Pfaff

NeurIPS

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A Generalist Agent

Scott Reed, Konrad Zolna, Emilio Parisotto, Sergio Gomez, Alexander Novikov, Gabe Barth-Maron, Yury Sulsky, Mai Giménez, Jackie Kay, Jost Tobias Springenberg, Tom Eccles, Jake Bruce, Ali Razavi, Ashley Edwards, Nicolas Heess, Yutian Chen, Raia Hadsell, Oriol Vinyals, Mahyar Bordbar, Nando de Freitas

Transactions on Machine Learning Research (TMLR)

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Categorical SDEs with Simplex Diffusion

Pierre Harvey Richemond, Sander Dieleman, Arnaud Doucet

arXiv

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Why neural networks find simple solutions: the many regularizers of geometric complexity

Benoit Dherin *, Michael Munn *, David Barrett, Mihaela Rosca

NeurIPS

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Self-supervised video pretraining yields strong image representations

Nikhil Parthasarathy, Ali Eslami, Joao Carreira, Olivier Henaff

arXiv

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Beyond Bayes-optimality: meta-learning what you know you don’t know

Jordi Grau, Grégoire Delétang, Markus Kunesch, Tim Genewein, Kevin Li, Elliot Catt, Anian Ruoss, Chris Cundy, Joel Veness, Jane Wang, Marcus Hutter, Christopher Summerfield, Shane Legg

arXiv

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Object discovery and representation networks

Olivier Henaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Drew Jaegle, Andrew Zisserman, Joao Carreira, Relja Arandjelovic

ECCV

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Publication

Formal Algorithms for Transformers

Mary Phuong, Marcus Hutter

arXiv

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Hindering Adversarial Attacks with Implicit Neural Representations

Andrei Rusu, Dan A. Calian, Sven Gowal, Raia Hadsell

ICML

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Evaluating the Adversarial Robustness of Adaptive Test-time Defenses

Francesco Croce *, Sven Gowal, Thomas Brunner *, Evan Shelhamer, Matthias Hein *, Taylan Cemgil

ICML

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Intuitive physics learning in a deep-learning model inspired by developmental psychology

Luis Piloto, Ari Weinstein, Peter Battaglia, Matt Botvinick

Nature Human Behaviour

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Publication

MultiScale MeshGraphNets

Meire Fortunato, Tobias Pfaff, Peter Wirnsberger, Alexander Pritzel, Peter Battaglia

ICML Workshop

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Publication

Constraint-based graph network simulator

Yulia Rubanova, Alvaro Sanchez, Tobias Pfaff, Peter Battaglia

ICML

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Competition-Level Code Generation using Deep Language Models

Yujia Li, David Choi, Junyoung Chung, Nate Kushman, Julian Schrittwieser, Rémi Leblond, Tom Eccles, James Keeling, Felix Gimeno, Agustin Dal Lago, Thomas Hubert, Peter Choy, Cyprien de Masson d'Autume, Igor Babuschkin, Po-Sen Huang, Johannes Welbl, Sven Gowal, Alexey Cherepanov, James Molloy, Daniel J. Mankowitz, Esme Sutherland Robson, Pushmeet Kohli, Nando de Freitas, Koray Kavukcuoglu, Oriol Vinyals

arXiv

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Publication

Learning Optimal Conformal Classifiers

David Stutz, Taylan Cemgil, Krishnamurthy Dvijotham *, Arnaud Doucet

ICLR

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Publication

On the Role of Neural Collapse in Transfer Learning

Andras Gyorgy, Marcus Hutter

ICLR

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Wide Neural Networks Forget Less Catastrophically

Iman Mirzadeh *, Arslan Chaudhry, Dong Yin, Clara Huiyi Hu, Razvan Pascanu, Dilan Gorur, Mehrdad Farajtabar

ICML

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Shaking the foundations: delusions in sequence models for interaction and control

Pedro Ortega, Markus Kunesch, Grégoire Delétang, Tim Genewein, Jordi Grau, Joel Veness, Jonas Buchli, Tom Everitt, Jonas Degrave, Bilal Piot, Emilio Parisotto, Corentin Tallec, Julien Perolat, Scott Reed, Yutian Chen, Nando de Freitas, Marcus Hutter, Shane Legg

arXiv

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Efficient Visual Pretraining with Contrastive Detection

Olivier Henaff, Skanda Koppula, Jean-baptiste Alayrac, Aäron van den Oord, Oriol Vinyals, Joao Carreira

ICCV

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Deep Kernel Shaping

James Martens, Andy Ballard, Guillaume Desjardins, Grzegorz Swirszcz, Valentin Dalibard, Jascha Sohl-Dickstein *, Sam Schoenholz *

arXiv

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Publications

Deep learning