Tim Pearce
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
6
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Scaling Laws for Pre-training Agents and World Models. | Tim Pearce, Tabish Rashid, David Bignell, Raluca Georgescu, Sam Devlin, Katja Hofmann |
| 2024 | AAAI | DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization. | Wentse Chen, Shiyu Huang, Yuan Chiang, Tim Pearce, Wei-Wei Tu, Ting Chen, Jun Zhu |
| 2023 | ICLR | Imitating Human Behaviour with Diffusion Models. | Tim Pearce, Tabish Rashid, Anssi Kanervisto, David Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin |
| 2021 | AAAI | Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks. | Russell Tsuchida, Tim Pearce, Christopher van der Heide, Fred Roosta, Marcus Gallagher |
| 2020 | AISTATS | Uncertainty in Neural Networks: Approximately Bayesian Ensembling. | Tim Pearce, Felix Leibfried, Alexandra Brintrup |
| 2020 | MMSys | Universal access for object-based media experiences. | Juliette Carter, Rajiv Ramdhany, Mark Lomas, Tim Pearce, James Shephard, Michael Sparks |
| 2019 | UAI | Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions. | Tim Pearce, Russell Tsuchida, Mohamed Zaki, Alexandra Brintrup, Andy Neely |
| 2018 | ICML | High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach. | Tim Pearce, Alexandra Brintrup, Mohamed Zaki, Andy Neely |