Research

Publication

Particle-Based Score Estimation for Jointly Learning Transition and Observation Models in Autonomous Driving

Angad Singh *, Omar Makhlouf *, Maximilian Igl *, Joao Messias *, Arnaud Doucet, Shimon Whiteson *

CoRL

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Reasoning-Modulated Representations

Petar Veličković, Matko Bošnjak, Thomas Kipf *, Alexander Lerchner, Raia Hadsell, Razvan Pascanu, Charles Blundell

LoG

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Learning Graph Search Heuristics

Michal Pándy *, Weikang Qiu *, Gabriele Corso *, Petar Veličković, Rex Ying *, Jure Leskovec *, Pietro Liò *

LoG

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Continuous Neural Algorithmic Planners

Yu He *, Petar Veličković, Pietro Liò *, Andreea-Ioana Deac

LoG

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Unbiased and Efficient Sampling of Dependency Trees

Miloš Stanojević

EMNLP

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A Generalist Neural Algorithmic Learner

Borja Ibarz, Vitaly Kurin, George Papamakarios, Kyriacos Nikiforou, Mehdi Bennani, Róbert Csordás, Andrew Dudzik, Matko Bošnjak, Alex Vitvitskyi, Yulia Rubanova, Andreea-Ioana Deac, Beatrice Bevilacqua, Yaroslav Ganin, Charles Blundell, Petar Veličković

LoG

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BLaDE: Robust Exploration via Diffusion Models

Daniel Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Shantanu Thakoor

Deep RL Workshop NeurIPS

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Scaffolding cooperation in human groups with deep reinforcement learning

Kevin McKee, Andrea Tacchetti, Michiel Bakker, Jan Balaguer, Lucy Campbell-Gillingham, Richard Everett, Matt Botvinick

PsyArXiv

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Negotiation and honesty in artificial intelligence methods for the board game of Diplomacy

János Kramár, Tom Eccles, Ian Gemp, Andrea Tacchetti, Kevin McKee, Mateusz Malinowski, Thore Graepel *, Yoram Bachrach

Nature Communications

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Large-Scale Retrieval for Reinforcement Learning

Peter Humphreys, Arthur Guez, Olivier Tieleman, Laurent Sifre, Theophane Weber, Timothy Lillicrap

NeurIPS

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Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models

Maribeth Rauh, John Mellor, Jonathan Uesato, Po-Sen Huang, Johannes Welbl, Laura Weidinger, Sumanth Dathathri, Mia Glaese, Geoffrey Irving, Iason Gabriel, William Isaac, Lisa Anne Hendricks

NeurIPS Datasets and Benchmarks Track

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Score-Based Diffusion meets Annealed Importance Sampling

Arnaud Doucet, Will Grathwohl, Alex Matthews, Heiko Strathmann

NeurIPS

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Learning to Navigate Wikipedia by Taking Random Walks

Manzil Zaheer, Kenneth Marino, Will Grathwohl, John Schultz, Wendy Shang, Arun Ahuja, Ishita Dasgupta, Christine Kaeser-Chen, Rob Fergus

NeurIPS

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Semantic Exploration from Language Abstractions and Pretrained Representations

Allison Tam, Neil Rabinowitz, Andrew Lampinen, Nick Roy, Stephanie Chan, DJ Strouse, Jane Wang, Andrea Banino, Felix Hill

NeurIPS

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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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Fine-tuning language models to find agreement among humans with diverse preferences

Michiel Bakker, Martin Chadwick, Hannah Sheahan, MH Tessler, Lucy Campbell-Gillingham, Jan Balaguer, Nat McAleese, Mia Glaese, John Aslanides, Matt Botvinick, Christopher Summerfield

NeurIPS

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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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Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members

Thomas Rood *, Daphne Cornelisse *, Tal Kachman *, Yoram Bachrach, Mateusz Malinowski

NeurIPS

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Towards combinatorial invariance for Kazhdan-Lusztig polynomials

Charles Blundell, Lars Buesing, Alex Davies, Petar Veličković, Geordie Williamson *

Representation Theory

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Curiosity in hindsight

Dan Jarrett, Corentin Tallec, Florent Altché, Thomas Mesnard, Remi Munos, Michal Valko

Deep RL Workshop NeurIPS

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Controlling Commercial Cooling Systems Using Reinforcement Learning

Jerry Luo, Cosmin Paduraru, Octavian Voicu, Yuri Chervonyi, Jerry Li, Praneet Dutta, Daniel J. Mankowitz, Jared Quincy Davis, Deeni Fatiha, Molly Carlin, Sims Witherspoon, Crystal Qian *, Ningjia Wu *, Xingwei Yang *, Chu-Ming Chang *, Ted Li *, Rob Rose *, Mingyan Fan *, Hootan Nakhost *, Tinglin Liu *, Neil Satra *, Juliet Rothenberg *, Satish Tallapaka *, David Parish *, Peter Dolan *, Chenyu Zhao *, Scott Munns *

arXiv

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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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Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task

Jannik Kossen, Cătălina Cangea, Eszter Vértes, Drew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomašev, Danielle Belgrave

NeurIPS Workshop

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What is the simplest model that can account for high-fidelity imitation?

Joel Leibo, Raphael Koster, Sasha Vezhnevets, Edgar Duéñez-Guzmán, John Agapiou, Peter Sunehag

Behavioral and Brain Sciences

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Diagnosing failures of fairness transfer across distribution shift in real-world medical settings

Jessica Schrouff *, Natalie Harris *, Oluwasanmi Koyejo *, Ibrahim Alabdulmohsin *, Eva Schnider *, Krista Opsahl-Ong *, Alex Brown *, Subhrajit Roy *, Diana Mincu *, Christina Chen *, Awa Dieng *, Yuan Liu *, Vivek Natarajan *, Alan Karthikesalingam *, Katherine Heller *, Silvia Chiappa, Alexander D'Amour *

NeurIPS

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