Speedy Performance Estimation for Neural Architecture Search R Ru, C Lyle, L Schut, M Fil, M van der Wilk, Y Gal Advances in Neural Information Processing Systems 34, 2021 | 48 | 2021 |
Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties L Schut, O Key, R McGrath, L Costabello, B Sacaleanu, M Corcoran, ... Proceedings of The 24th International Conference on Artificial Intelligence …, 2021 | 46 | 2021 |
A Bayesian Perspective on Training Speed and Model Selection C Lyle, L Schut, R Ru, Y Gal, M van der Wilk Advances in Neural Information Processing Systems 33, 2020 | 26 | 2020 |
Diversifying AI: Towards Creative Chess with AlphaZero T Zahavy, V Veeriah, S Hou, K Waugh, M Lai, E Leurent, N Tomasev, ... https://arxiv.org/abs/2308.09175, 2023 | 11 | 2023 |
Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero L Schut, N Tomasev, T McGrath, D Hassabis, U Paquet, B Kim https://arxiv.org/abs/2310.16410, 2023 | 7 | 2023 |
Capsule Networks--A Probabilistic Perspective L Smith, L Schut, Y Gal, M van der Wilk arXiv preprint arXiv:2004.03553, 2020 | 6 | 2020 |
DeDUCE: Generating Counterfactual Explanations At Scale B Höltgen, L Schut, JM Brauner, Y Gal eXplainable AI approaches for debugging and diagnosis., 2021 | 2 | 2021 |
Explaining Explainability: Understanding Concept Activation Vectors A Nicolson, L Schut, JA Noble, Y Gal arXiv preprint arXiv:2404.03713, 2024 | | 2024 |
Influence of Outliers on Cluster Correspondence Analysis M van de Velden, AI D’Enza, L Schut Book of Short Papers, 454, 2019 | | 2019 |