Genewein, Tim

17 publications

ICML 2025 Compression via Pre-Trained Transformers: A Study on Byte-Level Multimodal Data David Heurtel-Depeiges, Anian Ruoss, Joel Veness, Tim Genewein

ICML 2025 LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations Anian Ruoss, Fabio Pardo, Harris Chan, Bonnie Li, Volodymyr Mnih, Tim Genewein

ICLRW 2025 LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations Anian Ruoss, Fabio Pardo, Harris Chan, Bonnie Li, Volodymyr Mnih, Tim Genewein

NeurIPS 2025 Understanding Prompt Tuning and In-Context Learning via Meta-Learning Tim Genewein, Li Kevin Wenliang, Jordi Grau-Moya, Anian Ruoss, Laurent Orseau, Marcus Hutter

NeurIPS 2024 Amortized Planning with Large-Scale Transformers: A Case Study on Chess Anian Ruoss, Grégoire Delétang, Sourabh Medapati, Jordi Grau-Moya, Li Kevin Wenliang, Elliot Catt, John Reid, Cannada A. Lewis, Joel Veness, Tim Genewein

ICLR 2024 Language Modeling Is Compression Gregoire Deletang, Anian Ruoss, Paul-Ambroise Duquenne, Elliot Catt, Tim Genewein, Christopher Mattern, Jordi Grau-Moya, Li Kevin Wenliang, Matthew Aitchison, Laurent Orseau, Marcus Hutter, Joel Veness

ICML 2024 Learning Universal Predictors Jordi Grau-Moya, Tim Genewein, Marcus Hutter, Laurent Orseau, Gregoire Deletang, Elliot Catt, Anian Ruoss, Li Kevin Wenliang, Christopher Mattern, Matthew Aitchison, Joel Veness

ICML 2023 Memory-Based Meta-Learning on Non-Stationary Distributions Tim Genewein, Gregoire Deletang, Anian Ruoss, Li Kevin Wenliang, Elliot Catt, Vincent Dutordoir, Jordi Grau-Moya, Laurent Orseau, Marcus Hutter, Joel Veness

ICLR 2023 Neural Networks and the Chomsky Hierarchy Gregoire Deletang, Anian Ruoss, Jordi Grau-Moya, Tim Genewein, Li Kevin Wenliang, Elliot Catt, Chris Cundy, Marcus Hutter, Shane Legg, Joel Veness, Pedro A Ortega

NeurIPS 2023 Self-Predictive Universal AI Elliot Catt, Jordi Grau-Moya, Marcus Hutter, Matthew Aitchison, Tim Genewein, Grégoire Delétang, Kevin Li, Joel Veness

TMLR 2022 Your Policy Regularizer Is Secretly an Adversary Rob Brekelmans, Tim Genewein, Jordi Grau-Moya, Gregoire Detetang, Markus Kunesch, Shane Legg, Pedro A Ortega

NeurIPS 2020 Meta-Trained Agents Implement Bayes-Optimal Agents Vladimir Mikulik, Grégoire Delétang, Tom McGrath, Tim Genewein, Miljan Martic, Shane Legg, Pedro Ortega

UAI 2019 Sinkhorn AutoEncoders Giorgio Patrini, Rianne Berg, Patrick Forré, Marcello Carioni, Samarth Bhargav, Max Welling, Tim Genewein, Frank Nielsen

ICLR 2018 Variational Network Quantization Jan Achterhold, Jan Mathias Koehler, Anke Schmeink, Tim Genewein

ICLR 2017 On Detecting Adversarial Perturbations Jan Hendrik Metzen, Tim Genewein, Volker Fischer, Bastian Bischoff

ECML-PKDD 2016 Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes Jordi Grau-Moya, Felix Leibfried, Tim Genewein, Daniel A. Braun

NeurIPS 2012 A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function Pedro Ortega, Jordi Grau-moya, Tim Genewein, David Balduzzi, Daniel Braun