Publications

Publication

Constrained Offline RL via Stationary Distribution Correction Estimation

Jongmin Lee *, Cosmin Paduraru, Daniel J. Mankowitz, Nicolas Heess, Doina Precup, Kee-Eung Kim *, Arthur Guez

ICLR

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Semi-analytical Industrial Cooling System Model for Reinforcement Learning

Yuri Chervonyi, Praneet Dutta, Piotr Trochim *, Octavian Voicu, Cosmin Paduraru, Crystal Qian, Emre Karagozler, Jared Quincy Davis, Richard Chippendale *, Gautam Bajaj *, Sims Witherspoon, Jerry Luo

arXiv

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Generalised Policy Improvement with Geometric Policy Composition

Shantanu Thakoor, Mark Rowland, Diana Borsa, Will Dabney, Remi Munos, Andre Barreto

ICML

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From Dirichlet to Rubin: Optimistic exploration in RL without bonuses

Daniil Tiapkin *, Denis Belomestny *, Éric Moulines *, Alexey Naumov *, Sergey Samsonov *, Yunhao Tang, Michal Valko, Pierre Menard *

ICML

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Towards Coherent and Consistent Use of Entities in Narrative Generation

Nelly Papalampidi *, Kris Cao, Tomas Kocisky

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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Importance Weighting Approach in Kernel Bayes' Rule

Liyuan Xu *, Yutian Chen, Arnaud Doucet, Arthur Gretton *

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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Human-centred mechanism design with Democratic AI

Raphael Koster, Jan Balaguer, Andrea Tacchetti, Ari Weinstein, Tina Zhu, Oliver Hauser* (University of Exeter), Duncan Williams, Lucy Campbell-Gillingham, Phoebe Thacker, Matthew Botvinick, Christopher Summerfield

Nature Human Behaviour

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Scaling Gaussian process optimization by evaluating a few unique candidates multiple times

Daniele Calandriello, Luigi Carratino *, Alessandro Lazaric *, Lorenzo Rosasco *, Michal Valko

ICML

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Publication

Input-level Inductive Biases for 3D Reconstruction

Yifan Wang, Carl Doersch, Relja Arandjelovic, Joao Carreira, Andrew Zisserman

CVPR

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Subverting machines, fluctuating identities: Re-learning human categorization

Christina Lu, Jackie Kay, Kevin McKee

ACM FAccT

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BYOL-Explore: Exploration with Bootstrapped Prediction

Zhaohan Daniel Guo, Shantanu Thakoor, Miruna Pîslar, Bernardo Avila Pires, Florent Altché, Corentin Tallec, Alaa Saade, Daniele Calandriello, Jean-Bastien Grill, Yunhao Tang, Michal Valko, Rémi Munos, Mohammad Gheshlaghi Azar, Bilal Piot

arXiv

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Unlocking High-Accuracy Differentially Private Image Classification through Scale

Soham De, Leonard Berrada, Jamie Hayes, Samuel L. Smith, Borja Balle

arXiv

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Publication

Sheaf Neural Networks with Connection Laplacians

Federico Barbero *, Cristian Bodnar *, Haitz Sáez de Ocáriz Borde *, Michael Bronstein *, Petar Veličković, Pietro Liò *

ICML Workshop

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Perceiver AR: general-purpose, long-context autoregressive generation

Curtis Hawthorne, Andrew Jaegle, Cătălina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, João Carreira, Jesse Engel

arXiv

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Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games

Siqi Liu, Marc Lanctot, Luke Marris, Nicolas Heess

ICML

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An EigenGame for the Generalized Eigenvalue Problem

Ian Gemp, Charlie Chen, Brian McWilliams *

arXiv

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Publication

Utility of Equivariant Message Passing in Cortical Mesh Segmentation

Dániel Unyi *, Ferdinando Insalata *, Petar Veličković, Bálint Gyires-Tóth *

arXiv

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StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models

Adam Liska, Tomas Kocisky, Elena Gribovskaya, Tayfun Terzi, Eren Sezener, Devang Agrawal, Cyprien de Masson d'Autume, Tim Scholtes, Manzil Zaheer, Susannah Young, Ellen Gilsenan-McMahon, Sophia Austin, Angeliki Lazaridou

ICML

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The CLRS Algorithmic Reasoning Benchmark

Petar Veličković, Adrià Puigdomènech, David Budden, Razvan Pascanu, Andrea Banino, Misha Dashevskiy, Raia Hadsell, Charles Blundell

ICML

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The CLRS Algorithmic Reasoning Benchmark

Petar Veličković, Adrià Puigdomènech, David Budden, Razvan Pascanu, Andrea Banino, Misha Dashevskiy, Raia Hadsell, Charles Blundell

ICML

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Tell me why! Explanations support learning relational and causal structure

Andrew Lampinen, Nick Roy, Ishita Dasgupta, Stephanie Chan, Allison Tam, Chen Yan, Adam Santoro, Neil Rabinowitz, Jane Wang, Felix Hill

ICML

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Objective Robustness in Deep Reinforcement Learning

Laurent Orseau, Jack Koch *, Lauro Langosco *, Jacob Pfau *, David Krueger *, Lee Sharkey *

ICML

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Evaluating Multimodal Interactive Agents

Josh Abramson, Arun Ahuja, Federico Carnevale, Petko Georgiev, Alex Goldin, Jessica Landon, Timothy Lillicrap, Alistair Muldal, Adam Santoro, Tamara von Glehn, Gregory Wayne, Nathaniel Wong, Chen Yan, Blake Richards *, Alden Hung *

arXiv

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