| Cot-gan: Generating sequential data via causal optimal transport T Xu*, LK Wenliang*, M Munn, B Acciaio Adcances in Neural Information Processing Systems, 2020 | 100 | 2020 |
| 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 | 95 | 2022 |
| Learning deep kernels for exponential family densities LK Wenliang*, DJ Sutherland*, H Strathmann, A Gretton International Conference on Machine Learning, 6737--6746, 2019 | 78 | 2019 |
| Deep neural networks for modeling visual perceptual learning LK Wenliang, AR Seitz Journal of Neuroscience 38 (27), 6028-6044, 2018 | 77 | 2018 |
| Language modeling is compression G Delétang, A Ruoss, PA Duquenne, E Catt, T Genewein, C Mattern, ... arXiv preprint arXiv:2309.10668, 2023 | 65 | 2023 |
| 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 | 40 | 2021 |
| 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 | 32 | 2021 |
| Score-based generative models learn manifold-like structures with constrained mixing LK Wenliang, B Moran NeurIPS 2022 Workshop on Score-Based Methods, 2022 | 30 | 2022 |
| A neurally plausible model for online recognition and postdiction in a dynamical environment LK Wenliang, M Sahani Advances in Neural Information Processing Systems, 2019 | 10 | 2019 |
| 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 | 10 | 2015 |
| TacticAI: an AI assistant for football tactics Z Wang, P Veličković, D Hennes, N Tomašev, L Prince, M Kaisers, ... Nature communications 15 (1), 1906, 2024 | 9 | 2024 |
| Grandmaster-level chess without search A Ruoss, G Delétang, S Medapati, J Grau-Moya, LK Wenliang, E Catt, ... arXiv preprint arXiv:2402.04494, 2024 | 9 | 2024 |
| 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 | 6 | 2023 |
| 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 | 6 | 2021 |
| Neural networks and the chomsky hierarchy AR Gr’egoire Del’etang, J Grau-Moya, T Genewein, LK Wenliang, E Catt, ... ArXiv, abs/2207.02098, 2022 | 5 | 2022 |
| Amortised learning by wake-sleep L Wenliang, T Moskovitz, H Kanagawa, M Sahani International Conference on Machine Learning, 10236-10247, 2020 | 4 | 2020 |
| Neural networks and the chomsky hierarchy, 2022 G Delétang, A Ruoss, J Grau-Moya, T Genewein, LK Wenliang, E Catt, ... URL https://arxiv. org/abs/2207.02098, 0 | 4 | |
| 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 | 3 | 2022 |
| Distributional Bellman Operators over Mean Embeddings LK Wenliang, G Delétang, M Aitchison, M Hutter, A Ruoss, A Gretton, ... arXiv preprint arXiv:2312.07358, 2023 | 2 | 2023 |
| 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 | 1 | 2024 |
Elliot CattResearch Scientist, Google DeepMind在 google.com 的电子邮件经过验证
