Li Kevin Wenliang

22 papers A* 7Journal 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
Understanding Prompt Tuning and In-Context Learning via Meta-Learning.
CoRR
Tim Genewein, Li Kevin Wenliang, Jordi Grau-Moya, Anian Ruoss, Laurent Orseau, Marcus Hutter
2025 J jnl
Why is prompting hard? Understanding prompts on binary sequence predictors.
CoRR
Li Kevin Wenliang, Anian Ruoss, Jordi Grau-Moya, Marcus Hutter, Tim Genewein
2024 A* conf
Distributional Bellman Operators over Mean Embeddings.
ICML
Li Kevin Wenliang, Grégoire Delétang, Matthew Aitchison, Marcus Hutter, Anian Ruoss, Arthur Gretton, Mark Rowland
2024 J jnl
Grandmaster-Level Chess Without Search.
CoRR
Anian Ruoss, Grégoire Delétang, Sourabh Medapati, Jordi Grau-Moya, Li Kevin Wenliang, Elliot Catt, John Reid, Tim Genewein
2024 A* conf
Language Modeling Is Compression.
ICLR
Grégoire Delétang, 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
2024 A* conf
Learning Universal Predictors.
ICML
Jordi Grau-Moya, Tim Genewein, Marcus Hutter, Laurent Orseau, Grégoire Delétang, Elliot Catt, Anian Ruoss, Li Kevin Wenliang, Christopher Mattern, Matthew Aitchison, Joel Veness
2024 J jnl
Learning Universal Predictors.
CoRR
Jordi Grau-Moya, Tim Genewein, Marcus Hutter, Laurent Orseau, Grégoire Delétang, Elliot Catt, Anian Ruoss, Li Kevin Wenliang, Christopher Mattern, Matthew Aitchison, Joel Veness
2024 J jnl
Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model.
CoRR
Mark Rowland, Li Kevin Wenliang, Rémi Munos, Clare Lyle, Yunhao Tang, Will Dabney
2023 J jnl
Distributional Bellman Operators over Mean Embeddings.
CoRR
Li Kevin Wenliang, Grégoire Delétang, Matthew Aitchison, Marcus Hutter, Anian Ruoss, Arthur Gretton, Mark Rowland
2023 J jnl
Language Modeling Is Compression.
CoRR
Grégoire Delétang, 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
2023 A* conf
Memory-Based Meta-Learning on Non-Stationary Distributions.
ICML
Tim Genewein, Grégoire Delétang, Anian Ruoss, Li Kevin Wenliang, Elliot Catt, Vincent Dutordoir, Jordi Grau-Moya, Laurent Orseau, Marcus Hutter, Joel Veness
2023 J jnl
Memory-Based Meta-Learning on Non-Stationary Distributions.
CoRR
Tim Genewein, Grégoire Delétang, Anian Ruoss, Li Kevin Wenliang, Elliot Catt, Vincent Dutordoir, Jordi Grau-Moya, Laurent Orseau, Marcus Hutter, Joel Veness
2023 A* conf
Neural Networks and the Chomsky Hierarchy.
ICLR
Grégoire Delétang, Anian Ruoss, Jordi Grau-Moya, Tim Genewein, Li Kevin Wenliang, Elliot Catt, Chris Cundy, Marcus Hutter, Shane Legg, Joel Veness, Pedro A. Ortega
2023 J jnl
Score-based generative models learn manifold-like structures with constrained mixing.
CoRR
Li Kevin Wenliang, Ben Moran
2023 J jnl
TacticAI: an AI assistant for football tactics.
CoRR
Zhe Wang, Petar Velickovic, Daniel Hennes, Nenad Tomasev, Laurel Prince, Michael Kaisers, Yoram Bachrach, Romuald Elie, Li Kevin Wenliang, Federico Piccinini, William Spearman, Ian Graham, Jerome T. Connor, Yi Yang, Adrià Recasens, Mina Khan, Nathalie Beauguerlange, Pablo Sprechmann, Pol Moreno, Nicolas Heess, Michael Bowling, Demis Hassabis, Karl Tuyls
2022 J jnl
Neural Networks and the Chomsky Hierarchy.
CoRR
Grégoire Delétang, Anian Ruoss, Jordi Grau-Moya, Tim Genewein, Li Kevin Wenliang, Elliot Catt, Marcus Hutter, Shane Legg, Pedro A. Ortega
2022 J jnl
On the failure of variational score matching for VAE models.
CoRR
Li Kevin Wenliang
2021 — —
Nonparametric enrichment in computational and biological representations of distributions.
Li Kevin Wenliang
2020 J jnl
Amortised Learning by Wake-Sleep.
CoRR
Li Kevin Wenliang, Theodore H. Moskovitz, Heishiro Kanagawa, Maneesh Sahani
2020 A* conf
COT-GAN: Generating Sequential Data via Causal Optimal Transport.
NeurIPS
Tianlin Xu, Li Kevin Wenliang, Michael Munn, Beatrice Acciaio
2020 J jnl
COT-GAN: Generating Sequential Data via Causal Optimal Transport.
CoRR
Tianlin Xu, Li Kevin Wenliang, Michael Munn, Beatrice Acciaio
2019 A* conf
A neurally plausible model for online recognition and postdiction in a dynamical environment.
NeurIPS
Li Kevin Wenliang, Maneesh Sahani