Musculoskeletal Symptoms Amongst Clinical Radiologists and the Implications of Reporting Environment Ergonomics - A Multicentre Questionnaire Study. - Jonathan C. L. Rodrigues; Steven Morgan; Katharine Augustine; Gavin Clague; Tim Pearce; Adrian Pollentine; Adam Wallis; David Wilson 002; Paul McCoubrie (J. Digit. Imaging, 2014)

High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach. - Tim Pearce; Alexandra Brintrup; Mohamed Zaki; Andy Neely (ICML, 2018)

Recurrent Neural Networks for real-time distributed collaborative prognostics. - Adrià Salvador Palau; Kshitij Bakliwal; Maharshi Harshadbhai Dhada; Tim Pearce; Ajith Kumar Parlikad (ICPHM, 2018)

Bayesian Inference with Anchored Ensembles of Neural Networks, and Application to Reinforcement Learning. - Tim Pearce; Nicolas Anastassacos; Mohamed Zaki; Andy Neely (CoRR, 2018)

Uncertainty in Neural Networks: Bayesian Ensembling. - Tim Pearce; Mohamed Zaki; Alexandra Brintrup; Andy Neely (CoRR, 2018)

Bayesian Neural Network Ensembles. - Tim Pearce; Mohamed Zaki; Andy Neely (CoRR, 2018)

Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions. - Tim Pearce; Russell Tsuchida; Mohamed Zaki; Alexandra Brintrup; Andy Neely (UAI, 2019)

Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions. - Tim Pearce; Mohamed Zaki; Alexandra Brintrup; Andy Neely (CoRR, 2019)

Uncertainty in Neural Networks: Approximately Bayesian Ensembling. - Tim Pearce; Felix Leibfried; Alexandra Brintrup (AISTATS, 2020)

Universal access for object-based media experiences. - Juliette Carter; Rajiv Ramdhany; Mark Lomas; Tim Pearce; James Shephard; Michael Sparks (MMSys, 2020)

Structured Weight Priors for Convolutional Neural Networks. - Tim Pearce; Andrew Y. K. Foong; Alexandra Brintrup (CoRR, 2020)

Supply chain data analytics for predicting supplier disruptions: a case study in complex asset manufacturing. - Alexandra Brintrup; Johnson Pak; David Ratiney; Tim Pearce; Pascal Wichmann; Philip Woodall; Duncan C. McFarlane (Int. J. Prod. Res., 2020)

Uncertainty in neural networks: Bayesian ensembles, priors & prediction intervals. - Tim Pearce (2020)

Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks. - Russell Tsuchida; Tim Pearce; Christopher van der Heide; Fred Roosta; Marcus Gallagher (AAAI, 2021)

Understanding Softmax Confidence and Uncertainty. - Tim Pearce; Alexandra Brintrup; Jun Zhu (CoRR, 2021)

Bayesian Autoencoders: Analysing and Fixing the Bernoulli likelihood for Out-of-Distribution Detection. - Bang Xiang Yong; Tim Pearce; Alexandra Brintrup (CoRR, 2021)

Counter-Strike Deathmatch with Large-Scale Behavioural Cloning. - Tim Pearce; Jun Zhu (CoG, 2022)

Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis. - Tim Pearce; Jong-Hyeon Jeong; Yichen Jia; Jun Zhu (NeurIPS, 2022)

Fuzzy Inference for Well Log Lithology Classification. - Sam Fetherstonhaugh; John Martin; Tim Pearce; Neil Mac Parthaláin; Otar Akanyeti (UKCI, 2022)

Censored Quantile Regression Neural Networks. - Tim Pearce; Jong-Hyeon Jeong; Yichen Jia; Jun Zhu (CoRR, 2022)

TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play. - Fanqi Lin; Shiyu Huang 001; Tim Pearce; Wenze Chen; Wei-Wei Tu (AAMAS, 2023)

Imitating Human Behaviour with Diffusion Models. - Tim Pearce; Tabish Rashid; Anssi Kanervisto; David Bignell; Mingfei Sun 001; Raluca Georgescu; Sergio Valcarcel Macua; Shan Zheng Tan; Ida Momennejad; Katja Hofmann; Sam Devlin (ICLR, 2023)

Coalitional Bargaining via Reinforcement Learning: An Application to Collaborative Vehicle Routing. - Stephen Mak; Liming Xu; Tim Pearce; Michael Ostroumov; Alexandra Brintrup (CoRR, 2023)

Fair collaborative vehicle routing: A deep multi-agent reinforcement learning approach. - Stephen Mak; Liming Xu; Tim Pearce; Michael Ostroumov; Alexandra Brintrup (CoRR, 2023)

DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization. - Wentse Chen; Shiyu Huang 001; Yuan Chiang; Tim Pearce; Wei-Wei Tu; Ting Chen 006; Jun Zhu 001 (AAAI, 2024)

Diffusion for World Modeling: Visual Details Matter in Atari. - Eloi Alonso; Adam Jelley; Vincent Micheli; Anssi Kanervisto; Amos J. Storkey; Tim Pearce; François Fleuret (NeurIPS, 2024)

C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory. - Tianjiao Luo; Tim Pearce; Huayu Chen; Jianfei Chen; Jun Zhu (NeurIPS, 2024)

C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory. - Tianjiao Luo; Tim Pearce; Huayu Chen; Jianfei Chen 001; Jun Zhu 001 (CoRR, 2024)

Scaling Laws for Pre-training Agents and World Models. - Tim Pearce; Tabish Rashid; David Bignell; Raluca Georgescu; Sam Devlin; Katja Hofmann (CoRR, 2024)

External Nonfinancial Measures in Substantive Analytical Procedures: Contributions of Weather Information. - Kyunghee Yoon; Alexander Kogan; Miklos A. Vasarhelyi; Tim Pearce (J. Inf. Syst., 2024)

Reconciling Kaplan and Chinchilla Scaling Laws. - Tim Pearce; Jinyeop Song (Trans. Mach. Learn. Res., 2024)

World and Human Action Models towards gameplay ideation. - Anssi Kanervisto; David Bignell; Linda Yilin Wen; Martin Grayson; Raluca Georgescu; Sergio Valcarcel Macua; Shan Zheng Tan; Tabish Rashid; Tim Pearce; Yuhan Cao 001; Abdelhak Lemkhenter; Chentian Jiang; et al. (Nat., 2025)

Fast Autoregressive Video Generation with Diagonal Decoding. - Yang Ye; Junliang Guo; Haoyu Wu; Tianyu He; Tim Pearce; Tabish Rashid; Katja Hofmann; Jiang Bian 002 (CoRR, 2025)

MineWorld: a Real-Time and Open-Source Interactive World Model on Minecraft. - Junliang Guo; Yang Ye; Tianyu He; Haoyu Wu; Yushu Jiang; Tim Pearce; Jiang Bian 002 (CoRR, 2025)

Sight, Sound and Smell in Immersive Experiences of Urban History: Virtual Vauxhall Gardens Case Study. - Tim Pearce; David Souto; Douglas Barrett; Benjamin Lok; Mateusz Bocian; Artur Soczawa-Stronczyk; Giasemi N. Vavoula; Paul Long; Avinash Bhangaonkar; Stephanie Bowry; Michaela Butter; David Coke; et al. (CoRR, 2025)

What Do Latent Action Models Actually Learn? - Chuheng Zhang; Tim Pearce; Pushi Zhang; Kaixin Wang; Xiaoyu Chen; Wei Shen 005; Li Zhao 007; Jiang Bian 002 (CoRR, 2025)