Tim Pearce

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 31

Top Topics

Quantile Regression

Reinforcement Learning

Behavioural Cloning

Top Venues

Int. J. Prod. Res.

Publications

Wentse Chen, Shiyu Huang, Yuan Chiang, Tim Pearce, Wei-Wei Tu, Ting Chen, Jun Zhu
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization. AAAI (2024)
Kyunghee Yoon, Alexander Kogan, Miklos A. Vasarhelyi, Tim Pearce
External Nonfinancial Measures in Substantive Analytical Procedures: Contributions of Weather Information. J. Inf. Syst. 38 (2) (2024)
Tim Pearce, Jinyeop Song
Reconciling Kaplan and Chinchilla Scaling Laws. CoRR (2024)
Eloi Alonso, Adam Jelley, Vincent Micheli, Anssi Kanervisto, Amos J. Storkey, Tim Pearce, François Fleuret
Diffusion for World Modeling: Visual Details Matter in Atari. CoRR (2024)
Tianjiao Luo, Tim Pearce, Huayu Chen, Jianfei Chen, Jun Zhu
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory. CoRR (2024)
Tim Pearce, Tabish Rashid, Anssi Kanervisto, David Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin
Imitating Human Behaviour with Diffusion Models. ICLR (2023)
Stephen Mak, Liming Xu, Tim Pearce, Michael Ostroumov, Alexandra Brintrup
Fair collaborative vehicle routing: A deep multi-agent reinforcement learning approach. CoRR (2023)
Fanqi Lin, Shiyu Huang, Tim Pearce, Wenze Chen, Wei-Wei Tu
TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play. CoRR (2023)
Stephen Mak, Liming Xu, Tim Pearce, Michael Ostroumov, Alexandra Brintrup
Coalitional Bargaining via Reinforcement Learning: An Application to Collaborative Vehicle Routing. CoRR (2023)
Tim Pearce, Tabish Rashid, Anssi Kanervisto, David Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin
Imitating Human Behaviour with Diffusion Models. CoRR (2023)
Fanqi Lin, Shiyu Huang, Tim Pearce, Wenze Chen, Wei-Wei Tu
TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play. AAMAS (2023)
Sam Fetherstonhaugh, John Martin, Tim Pearce, Neil Mac Parthaláin, Otar Akanyeti
Fuzzy Inference for Well Log Lithology Classification. UKCI (2022)
Tim Pearce, Jong-Hyeon Jeong, Yichen Jia, Jun Zhu
Censored Quantile Regression Neural Networks. CoRR (2022)
Tim Pearce, Jong-Hyeon Jeong, Yichen Jia, Jun Zhu
Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis. NeurIPS (2022)
Tim Pearce, Jun Zhu
Counter-Strike Deathmatch with Large-Scale Behavioural Cloning. CoG (2022)
Tim Pearce, Alexandra Brintrup, Jun Zhu
Understanding Softmax Confidence and Uncertainty. CoRR (2021)
Bang Xiang Yong, Tim Pearce, Alexandra Brintrup
Bayesian Autoencoders: Analysing and Fixing the Bernoulli likelihood for Out-of-Distribution Detection. CoRR (2021)
Tim Pearce, Jun Zhu
Counter-Strike Deathmatch with Large-Scale Behavioural Cloning. CoRR (2021)
Russell Tsuchida, Tim Pearce, Christopher van der Heide, Fred Roosta, Marcus Gallagher
Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks. AAAI (2021)
Juliette Carter, Rajiv Ramdhany, Mark Lomas, Tim Pearce, James Shephard, Michael Sparks
Universal access for object-based media experiences. MMSys (2020)
Tim Pearce, Andrew Y. K. Foong, Alexandra Brintrup
Structured Weight Priors for Convolutional Neural Networks. CoRR (2020)
Russell Tsuchida, Tim Pearce, Christopher van der Heide, Fred Roosta, Marcus Gallagher
Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks. CoRR (2020)
Tim Pearce, Felix Leibfried, Alexandra Brintrup
Uncertainty in Neural Networks: Approximately Bayesian Ensembling. AISTATS (2020)
Alexandra Brintrup, Johnson Pak, David Ratiney, Tim Pearce, Pascal Wichmann, Philip Woodall, Duncan C. McFarlane
Supply chain data analytics for predicting supplier disruptions: a case study in complex asset manufacturing. Int. J. Prod. Res. 58 (11) (2020)
Tim Pearce, Mohamed Zaki, Alexandra Brintrup, Andy Neely
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions. CoRR (2019)
Tim Pearce, Russell Tsuchida, Mohamed Zaki, Alexandra Brintrup, Andy Neely
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions. UAI (2019)
Tim Pearce, Mohamed Zaki, Andy Neely
Bayesian Neural Network Ensembles. CoRR (2018)
Adrià Salvador Palau, Kshitij Bakliwal, Maharshi Harshadbhai Dhada, Tim Pearce, Ajith Kumar Parlikad
Recurrent Neural Networks for real-time distributed collaborative prognostics. ICPHM (2018)
Tim Pearce, Alexandra Brintrup, Mohamed Zaki, Andy Neely
High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach. ICML (2018)
Tim Pearce, Nicolas Anastassacos, Mohamed Zaki, Andy Neely
Bayesian Inference with Anchored Ensembles of Neural Networks, and Application to Reinforcement Learning. CoRR (2018)
Tim Pearce, Mohamed Zaki, Alexandra Brintrup, Andy Neely
Uncertainty in Neural Networks: Bayesian Ensembling. CoRR (2018)
Jonathan C. L. Rodrigues, Steven Morgan, Katharine Augustine, Gavin Clague, Tim Pearce, Adrian Pollentine, Adam Wallis, David Wilson, Paul McCoubrie
Musculoskeletal Symptoms Amongst Clinical Radiologists and the Implications of Reporting Environment Ergonomics - A Multicentre Questionnaire Study. J. Digit. Imaging 27 (2) (2014)