Tim Pearce
Tim Pearce
Microsoft Research
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Cited by
Cited by
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
Uncertainty in neural networks: Approximately bayesian ensembling
T Pearce, F Leibfried, A Brintrup
International conference on artificial intelligence and statistics, 234-244, 2020
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
Imitating Human Behaviour with Diffusion Models
T Pearce, T Rashid, A Kanervisto, D Bignell, M Sun, R Georgescu, ...
ICLR 2023, 2023
Understanding softmax confidence and uncertainty
T Pearce, A Brintrup, J Zhu
arXiv preprint arXiv:2106.04972, 2021
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
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
Counter-Strike Deathmatch with Large-Scale Behavioural Cloning
T Pearce, J Zhu
IEEE CoG 2022, 2022
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 managementá…, 2018
Bayesian Neural Network Ensembles
T Pearce, M Zaki, A Neely
Bayesian Deep Learning Workshop, NeurIPS, 2018
Uncertainty in neural networks; bayesian ensembles, priors & prediction intervals
T Pearce
TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play
F Lin, S Huang, T Pearce, W Chen, WW Tu
AAMAS 2023, 2023
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
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
DGPO: discovering multiple strategies with diversity-guided policy optimization
W Chen, S Huang, Y Chiang, T Pearce, WW Tu, T Chen, J Zhu
AAAI 2024, 2024
Structured Weight Priors for Convolutional Neural Networks
T Pearce, AYK Foong, A Brintrup
Uncertainty & Robustness in Deep Learning Workshop, ICML, 2020
Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis
T Pearce, JH Jeong, Y Jia, J Zhu
NeurIPS 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
Reconciling Kaplan and Chinchilla Scaling Laws
T Pearce, J Song
arXiv preprint arXiv:2406.12907, 2024
Fair collaborative vehicle routing: A deep multi-agent reinforcement learning approach
S Mak, L Xu, T Pearce, M Ostroumov, A Brintrup
Transportation Research Part C: Emerging Technologies 157, 104376, 2023
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