| Uncertainty in neural networks: Approximately bayesian ensembling T Pearce, F Leibfried, A Brintrup International conference on artificial intelligence and statistics, 234-244, 2020 | 167* | 2020 |
| High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach T Pearce, M Zaki, A Brintrup, A Neely Proceedings of the 35th International Conference on Machine Learning, ICML, 2018 | 163 | 2018 |
| Supply chain data analytics for predicting supplier disruptions: a case study in complex asset manufacturing A Brintrup, J Pak, D Ratiney, T Pearce, P Wichmann, P Woodall, ... International Journal of Production Research 58 (11), 3330-3341, 2020 | 58 | 2020 |
| Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions T Pearce, R Tsuchida, M Zaki, A Brintrup, A Neely Uncertainty in Artificial Intelligence, UAI, 2019 | 45 | 2019 |
| Bayesian Inference with Anchored Ensembles of Neural Networks, and Application to Exploration in Reinforcement Learning T Pearce, N Anastassacos, M Zaki, A Neely Exploration in Reinforcement Learning Workshop, ICML, 2018 | 28* | 2018 |
| Recurrent neural networks for real-time distributed collaborative prognostics AS Palau, K Bakliwal, MH Dhada, T Pearce, AK Parlikad 2018 IEEE international conference on prognostics and health management …, 2018 | 21 | 2018 |
| Bayesian Neural Network Ensembles T Pearce, M Zaki, A Neely Bayesian Deep Learning Workshop, NeurIPS, 2018 | 10* | 2018 |
| Understanding softmax confidence and uncertainty T Pearce, A Brintrup, J Zhu arXiv preprint arXiv:2106.04972, 2021 | 5 | 2021 |
| Structured Weight Priors for Convolutional Neural Networks T Pearce, AYK Foong, A Brintrup Uncertainty & Robustness in Deep Learning Workshop, ICML, 2020 | 5 | 2020 |
| Counter-Strike Deathmatch with Large-Scale Behavioural Cloning T Pearce, J Zhu IEEE CoG 2022 // Offline RL Workshop, NeurIPS 2021, 2021 | 4 | 2021 |
| Uncertainty in neural networks; bayesian ensembles, priors & prediction intervals T Pearce University of Cambridge, 2020 | 4 | 2020 |
| Bayesian Autoencoders: Analysing and Fixing the Bernoulli likelihood for Out-of-Distribution Detection BX Yong, T Pearce, A Brintrup Uncertainty & Robustness in Deep Learning Workshop, ICML, 2020 | 3 | 2020 |
| Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks R Tsuchida, T Pearce, C Van Der Heide, F Roosta, M Gallagher AAAI, 2021 | 2 | 2021 |
| Censored Quantile Regression Neural Networks T Pearce, JH Jeong, Y Jia, J Zhu arXiv preprint arXiv:2205.13496, 2022 | | 2022 |
| Coalitional Bargaining via Reinforcement Learning: An Application to Collaborative Vehicle Routing S Mak, L Xu, T Pearce, M Ostroumov, A Brintrup NeurIPS Cooperative AI Workshop, 2021 | | 2021 |
Andy NeelyUniversity of CambridgeVerified email at cam.ac.uk
