Publications

Date: 2 Feb 24 2 February 2024
Title: Transfer Learning for Bayesian Optimization on Heterogeneous Search Spaces
Authors: Zhou Fan, Xinran Han, Zi Wang
Venue: Transactions on Machine Learning Research (TMLR)

Date: 2 Feb 24 2 February 2024
Title: Fractal Patterns May Unravel the Intelligence in Next-Token Prediction
Authors: Ibrahim Alabdulmohsin, Vinh Q. Tran, Mostafa Dehghani
Venue: arXiv

Date: 1 Feb 24 1 February 2024
Title: Exploration at Scale using Epistemic Neural Networks
Authors: Vikranth Dwaracherla, Seyed Mohammad Asghari, Botao Hao, Benjamin Van Roy
Venue: arXiv

Date: 26 Jan 24 26 January 2024
Title: Learning Universal Predictors
Authors: Jordi Grau-Moya *, Tim Genewein *, Marcus Hutter *, Laurent Orseau *, Grégoire Déletang, Elliot Catt, Anian Ruoss, Li Kevin Wenliang, Christopher Mattern, Matthew Aitchison and Joel Veness
Venue: arXiv

Date: 20 Jan 24 20 January 2024
Title: Neural Population Learning beyond Symmetric Zero-Sum Games
Authors: Siqi Liu, Luke Marris, Marc Lanctot, Georgios Piliouras, Joel Leibo, Nicolas Heess
Venue: AAMAS 2024

Date: 17 Jan 24 17 January 2024
Title: Asynchronous Local-SGD Training forLanguage Modeling
Authors: Bo Liu*, Arthur Douillard, Rachita Chhaparia, Jiajun Shen, Andrei Rusu, Arthur Szlam, Marc'aurelio Ranzato, Satyen Kale
Venue: arXiv

Date: 16 Jan 24 16 January 2024
Title: GATS: Gather-Attend-Scatter
Authors: Konrad Zolna, Serkan Cabi, Yutian Chen, Eric Lau, Claudio Fantacci, Jurgis Pasukonis, Jost Tobias Springenberg, Sergio Gomez
Venue: arXiv

Date: 16 Jan 24 16 January 2024
Title: NfgTransformer: Equivariant Representation Learning for Normal-form Games
Authors: Siqi Liu, Luke Marris, Ian Gemp, Georgios Piliouras, Nicolas Heess
Venue: ICLR 2024

Date: 16 Jan 24 16 January 2024
Title: Generative Adversarial Equilibrium Solvers
Authors: Denizalp Goktas, David C. Parkes, Ian Gemp, Luke Marris, Georgios Piliouras, Romuald Elie, Guy Lever, Andrea Tacchetti
Venue: ICLR 2024

Date: 16 Jan 24 16 January 2024
Title: Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization
Authors: Ian Gemp, Luke Marris, Georgios Piliouras
Venue: ICLR 2024

Date: 16 Jan 24 16 January 2024
Title: On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes
Authors: Rishabh Agarwal, Nino Vieillard, Yongchao Zhou, Piotr Stanczyk, Sabela Ramos, mfgeist , Olivier Bachem
Venue: ICLR 2024

Date: 11 Jan 24 11 January 2024
Title: Learning Planning-compatible Cognitive Maps with Transformers in PartiallyObserved Environments
Authors: Antoine Dedieu, Wolfgang Lehrach, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla
Venue: arXiv

Date: 10 Jan 24 10 January 2024
Title: Distributional reinforcement learning in prefrontal cortex
Authors: Timothy Muller*, James Butler*, Sebastijan Veselic*, Bruno Miranda*, Timothy Behrens*, Zeb Kurth-Nelson, Steve Kennerley*
Venue: Nature Neuroscience

Date: 4 Jan 24 4 January 2024
Title: AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents
Authors: Alex Irpan, Keerthana Gopalakrishnan, Sergey Levine, Ted Xiao, Peng Xu, Ryan Julian, Sean Kirmani, Debidatta Dwibedi, Karol Hausman, Dorsa Sadigh, ichter , yaolug , Stefan Welker, Pannag Sanketi, Kanishka Rao, Edward Lee, Fei Xia, Isabel Leal, Pierre Sermanet, Nikhil Joshi, Zhuo Xu, Quan Vuong, Michael Ahn, chelseaf , Montse Gonzalez Arenas, Steve Xu, Sharath Maddineni
Venue: arXiv

Date: 25 Dec 23 25 December 2023
Title: GenCast: learning skillful ensemble forecasting of medium-range weather
Authors: Ilan Price, Matthew Willson, Alvaro Sanchez, Peter Battaglia, Remi Lam, Ferran Alet, Jacklynn Stott, Timo Ewalds, Shakir Mohamed
Venue: arXiv

Date: 20 Dec 23 20 December 2023
Title: Zero-Shot Metric Depth with a Field-of-View Conditioned Diffusion Model
Authors: Saurabh Saxena, Junhwa Hur, Charles Herrmann, Deqing Sun, David Fleet
Venue: arXiv

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