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Li Kevin Wenliang
Li Kevin Wenliang
Google DeepMind; University College London
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Cot-gan: Generating sequential data via causal optimal transport
T Xu*, LK Wenliang*, M Munn, B Acciaio
Adcances in Neural Information Processing Systems, 2020
902020
Learning deep kernels for exponential family densities
LK Wenliang*, DJ Sutherland*, H Strathmann, A Gretton
International Conference on Machine Learning, 6737--6746, 2019
742019
Neural networks and the chomsky hierarchy
G Delétang, A Ruoss, J Grau-Moya, T Genewein, LK Wenliang, E Catt, ...
arXiv preprint arXiv:2207.02098, 2022
712022
Deep neural networks for modeling visual perceptual learning
LK Wenliang, AR Seitz
Journal of Neuroscience 38 (27), 6028-6044, 2018
702018
Grin: Generative relation and intention network for multi-agent trajectory prediction
L Li, J Yao, L Wenliang, T He, T Xiao, J Yan, D Wipf, Z Zhang
Advances in Neural Information Processing Systems 34, 27107-27118, 2021
362021
Language modeling is compression
G Delétang, A Ruoss, PA Duquenne, E Catt, T Genewein, C Mattern, ...
arXiv preprint arXiv:2309.10668, 2023
342023
Blindness of score-based methods to isolated components and mixing proportions
LK Wenliang, H Kanagawa
NeurIPS Workshop Your Model is Wrong: Robustness and misspecification in …, 2021
292021
A neurally plausible model for online recognition and postdiction in a dynamical environment
LK Wenliang, M Sahani
Advances in Neural Information Processing Systems, 2019
102019
Grasp planning by human experience on a variety of objects with complex geometry
C Liu, W Li, F Sun, J Zhang
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
102015
Memory-based meta-learning on non-stationary distributions
T Genewein, G Delétang, A Ruoss, LK Wenliang, E Catt, V Dutordoir, ...
International conference on machine learning, 11173-11195, 2023
52023
On the value of infinite gradients in variational autoencoder models
B Dai, L Wenliang, D Wipf
Advances in Neural Information Processing Systems 34, 7180-7192, 2021
52021
Amortised learning by wake-sleep
L Wenliang, T Moskovitz, H Kanagawa, M Sahani
International Conference on Machine Learning, 10236-10247, 2020
42020
Grandmaster-level chess without search
A Ruoss, G Delétang, S Medapati, J Grau-Moya, LK Wenliang, E Catt, ...
arXiv preprint arXiv:2402.04494, 2024
32024
Score-based generative models learn manifold-like structures with constrained mixing
LK Wenliang, B Moran
NeurIPS 2022 Workshop on Score-Based Methods, 2022
32022
Beyond Bayes-optimality: meta-learning what you know you don't know
J Grau-Moya, G Delétang, M Kunesch, T Genewein, E Catt, K Li, A Ruoss, ...
arXiv preprint arXiv:2209.15618, 2022
22022
Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model
M Rowland, LK Wenliang, R Munos, C Lyle, Y Tang, W Dabney
arXiv preprint arXiv:2402.07598, 2024
12024
On the failure of variational score matching for VAE models
LK Wenliang
arXiv preprint arXiv:2210.13390, 2022
12022
Learning Universal Predictors
J Grau-Moya, T Genewein, M Hutter, L Orseau, G Delétang, E Catt, ...
arXiv preprint arXiv:2401.14953, 2024
2024
Distributional Bellman Operators over Mean Embeddings
LK Wenliang, G Delétang, M Aitchison, M Hutter, A Ruoss, A Gretton, ...
arXiv preprint arXiv:2312.07358, 2023
2023
Self-Predictive Universal AI
E Catt, J Grau-Moya, M Hutter, M Aitchison, T Genewein, G Deletang, ...
Advances in Neural Information Processing Systems, 2023
2023
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