Tim Pearce - RankMe

44 papers A* 8A 4C 1Journal 28Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Pixel Histories: World Models with Persistent 3D State. CoRR Samuel Garcin, Thomas Walker, Steven McDonagh, Tim Pearce, Hakan Bilen, Tianyu He, Kaixin Wang, Jiang Bian
2025	J	`jnl`	Fast Autoregressive Video Generation with Diagonal Decoding. CoRR Yang Ye, Junliang Guo, Haoyu Wu, Tianyu He, Tim Pearce, Tabish Rashid, Katja Hofmann, Jiang Bian
2025	J	`jnl`	MineWorld: a Real-Time and Open-Source Interactive World Model on Minecraft. CoRR Junliang Guo, Yang Ye, Tianyu He, Haoyu Wu, Yushu Jiang, Tim Pearce, Jiang Bian
2025	A*	`conf`	Scaling Laws for Pre-training Agents and World Models. ICML Tim Pearce, Tabish Rashid, David Bignell, Raluca Georgescu, Sam Devlin, Katja Hofmann
2025	J	`jnl`	Sight, Sound and Smell in Immersive Experiences of Urban History: Virtual Vauxhall Gardens Case Study. CoRR 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, Kate Loveman, Rosemary Sweet, Lars Tharp, Jeremy Webster, Hongji Yang, Robin Green, Andrew Hugill
2025	J	`jnl`	What Do Latent Action Models Actually Learn? CoRR Chuheng Zhang, Tim Pearce, Pushi Zhang, Kaixin Wang, Xiaoyu Chen, Wei Shen, Li Zhao, Jiang Bian
2025	J	`jnl`	World and Human Action Models towards gameplay ideation. Nat. Anssi Kanervisto, David Bignell, Linda Yilin Wen, Martin Grayson, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Tabish Rashid, Tim Pearce, Yuhan Cao, Abdelhak Lemkhenter, Chentian Jiang, Gavin Costello, Gunshi Gupta, Marko Tot, Shu Ishida, Tarun Gupta, Udit Arora, Ryen W. White, Sam Devlin, Cecily Morrison, Katja Hofmann
2024	A*	`conf`	C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory. NeurIPS Tianjiao Luo, Tim Pearce, Huayu Chen, Jianfei Chen, Jun Zhu
2024	J	`jnl`	C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory. CoRR Tianjiao Luo, Tim Pearce, Huayu Chen, Jianfei Chen, Jun Zhu
2024	A*	`conf`	DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization. AAAI Wentse Chen, Shiyu Huang, Yuan Chiang, Tim Pearce, Wei-Wei Tu, Ting Chen, Jun Zhu
2024	A*	`conf`	Diffusion for World Modeling: Visual Details Matter in Atari. NeurIPS Eloi Alonso, Adam Jelley, Vincent Micheli, Anssi Kanervisto, Amos J. Storkey, Tim Pearce, François Fleuret
2024	J	`jnl`	Diffusion for World Modeling: Visual Details Matter in Atari. CoRR Eloi Alonso, Adam Jelley, Vincent Micheli, Anssi Kanervisto, Amos J. Storkey, Tim Pearce, François Fleuret
2024	J	`jnl`	External Nonfinancial Measures in Substantive Analytical Procedures: Contributions of Weather Information. J. Inf. Syst. Kyunghee Yoon, Alexander Kogan, Miklos A. Vasarhelyi, Tim Pearce
2024	J	`jnl`	Reconciling Kaplan and Chinchilla Scaling Laws. CoRR Tim Pearce, Jinyeop Song
2024	J	`jnl`	Reconciling Kaplan and Chinchilla Scaling Laws. Trans. Mach. Learn. Res. Tim Pearce, Jinyeop Song
2024	J	`jnl`	Scaling Laws for Pre-training Agents and World Models. CoRR Tim Pearce, Tabish Rashid, David Bignell, Raluca Georgescu, Sam Devlin, Katja Hofmann
2023	J	`jnl`	Coalitional Bargaining via Reinforcement Learning: An Application to Collaborative Vehicle Routing. CoRR Stephen Mak, Liming Xu, Tim Pearce, Michael Ostroumov, Alexandra Brintrup
2023	J	`jnl`	Fair collaborative vehicle routing: A deep multi-agent reinforcement learning approach. CoRR Stephen Mak, Liming Xu, Tim Pearce, Michael Ostroumov, Alexandra Brintrup
2023	A*	`conf`	Imitating Human Behaviour with Diffusion Models. ICLR Tim Pearce, Tabish Rashid, Anssi Kanervisto, David Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin
2023	J	`jnl`	Imitating Human Behaviour with Diffusion Models. CoRR Tim Pearce, Tabish Rashid, Anssi Kanervisto, David Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin
2023	A	`conf`	TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play. AAMAS Fanqi Lin, Shiyu Huang, Tim Pearce, Wenze Chen, Wei-Wei Tu
2023	J	`jnl`	TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play. CoRR Fanqi Lin, Shiyu Huang, Tim Pearce, Wenze Chen, Wei-Wei Tu
2022	A*	`conf`	Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis. NeurIPS Tim Pearce, Jong-Hyeon Jeong, Yichen Jia, Jun Zhu
2022	J	`jnl`	Censored Quantile Regression Neural Networks. CoRR Tim Pearce, Jong-Hyeon Jeong, Yichen Jia, Jun Zhu
2022	C	`conf`	Counter-Strike Deathmatch with Large-Scale Behavioural Cloning. CoG Tim Pearce, Jun Zhu
2022	—	`conf`	Fuzzy Inference for Well Log Lithology Classification. UKCI Sam Fetherstonhaugh, John Martin, Tim Pearce, Neil Mac Parthaláin, Otar Akanyeti
2021	A*	`conf`	Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks. AAAI Russell Tsuchida, Tim Pearce, Christopher van der Heide, Fred Roosta, Marcus Gallagher
2021	J	`jnl`	Bayesian Autoencoders: Analysing and Fixing the Bernoulli likelihood for Out-of-Distribution Detection. CoRR Bang Xiang Yong, Tim Pearce, Alexandra Brintrup
2021	J	`jnl`	Counter-Strike Deathmatch with Large-Scale Behavioural Cloning. CoRR Tim Pearce, Jun Zhu
2021	J	`jnl`	Understanding Softmax Confidence and Uncertainty. CoRR Tim Pearce, Alexandra Brintrup, Jun Zhu
2020	J	`jnl`	Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks. CoRR Russell Tsuchida, Tim Pearce, Christopher van der Heide, Fred Roosta, Marcus Gallagher
2020	J	`jnl`	Structured Weight Priors for Convolutional Neural Networks. CoRR Tim Pearce, Andrew Y. K. Foong, Alexandra Brintrup
2020	J	`jnl`	Supply chain data analytics for predicting supplier disruptions: a case study in complex asset manufacturing. Int. J. Prod. Res. Alexandra Brintrup, Johnson Pak, David Ratiney, Tim Pearce, Pascal Wichmann, Philip Woodall, Duncan C. McFarlane
2020	A	`conf`	Uncertainty in Neural Networks: Approximately Bayesian Ensembling. AISTATS Tim Pearce, Felix Leibfried, Alexandra Brintrup
2020	—	`—`	Uncertainty in neural networks: Bayesian ensembles, priors & prediction intervals. Tim Pearce
2020	A	`conf`	Universal access for object-based media experiences. MMSys Juliette Carter, Rajiv Ramdhany, Mark Lomas, Tim Pearce, James Shephard, Michael Sparks
2019	A	`conf`	Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions. UAI Tim Pearce, Russell Tsuchida, Mohamed Zaki, Alexandra Brintrup, Andy Neely
2019	J	`jnl`	Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions. CoRR Tim Pearce, Mohamed Zaki, Alexandra Brintrup, Andy Neely
2018	J	`jnl`	Bayesian Inference with Anchored Ensembles of Neural Networks, and Application to Reinforcement Learning. CoRR Tim Pearce, Nicolas Anastassacos, Mohamed Zaki, Andy Neely
2018	J	`jnl`	Bayesian Neural Network Ensembles. CoRR Tim Pearce, Mohamed Zaki, Andy Neely
2018	A*	`conf`	High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach. ICML Tim Pearce, Alexandra Brintrup, Mohamed Zaki, Andy Neely
2018	—	`conf`	Recurrent Neural Networks for real-time distributed collaborative prognostics. ICPHM Adrià Salvador Palau, Kshitij Bakliwal, Maharshi Harshadbhai Dhada, Tim Pearce, Ajith Kumar Parlikad
2018	J	`jnl`	Uncertainty in Neural Networks: Bayesian Ensembling. CoRR Tim Pearce, Mohamed Zaki, Alexandra Brintrup, Andy Neely
2014	J	`jnl`	Musculoskeletal Symptoms Amongst Clinical Radiologists and the Implications of Reporting Environment Ergonomics - A Multicentre Questionnaire Study. J. Digit. Imaging Jonathan C. L. Rodrigues, Steven Morgan, Katharine Augustine, Gavin Clague, Tim Pearce, Adrian Pollentine, Adam Wallis, David Wilson, Paul McCoubrie