BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning. - Andreas Kirsch 002; Joost van Amersfoort; Yarin Gal (NeurIPS, 2019)

Uncertainty Estimation Using a Single Deep Deterministic Neural Network. - Joost van Amersfoort; Lewis Smith; Yee Whye Teh; Yarin Gal (ICML, 2020)

Simple and Scalable Epistemic Uncertainty Estimation Using a Single Deep Deterministic Neural Network. - Joost van Amersfoort; Lewis Smith; Yee Whye Teh; Yarin Gal (CoRR, 2020)

Single Shot Structured Pruning Before Training. - Joost van Amersfoort; Milad Alizadeh; Sebastian Farquhar; Nicholas D. Lane; Yarin Gal (CoRR, 2020)

Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data. - Andrew Jesson; Panagiotis Tigas; Joost van Amersfoort; Andreas Kirsch 002; Uri Shalit; Yarin Gal (NeurIPS, 2021)

Improving Deterministic Uncertainty Estimation in Deep Learning for Classification and Regression. - Joost van Amersfoort; Lewis Smith; Andrew Jesson; Oscar Key; Yarin Gal (CoRR, 2021)

Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty. - Jishnu Mukhoti; Andreas Kirsch 002; Joost van Amersfoort; Philip H. S. Torr; Yarin Gal (CoRR, 2021)

Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective. - Lewis Smith; Joost van Amersfoort; Haiwen Huang; Stephen J. Roberts; Yarin Gal (CoRR, 2021)

Deep Deterministic Uncertainty for Semantic Segmentation. - Jishnu Mukhoti; Joost van Amersfoort; Philip H. S. Torr; Yarin Gal (CoRR, 2021)

Decomposing Representations for Deterministic Uncertainty Estimation. - Haiwen Huang; Joost van Amersfoort; Yarin Gal (CoRR, 2021)

Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients. - Milad Alizadeh; Shyam A. Tailor; Luisa M. Zintgraf; Joost van Amersfoort; Sebastian Farquhar; Nicholas Donald Lane; Yarin Gal (ICLR, 2022)

Plex: Towards Reliability using Pretrained Large Model Extensions. - Dustin Tran; Jeremiah Z. Liu; Michael W. Dusenberry; Du Phan; Mark Collier; Jie Ren 006; Kehang Han; Zi Wang; Zelda Mariet; Huiyi Hu; Neil Band; Tim G. J. Rudner; et al. (CoRR, 2022)

Mixtures of large-scale dynamic functional brain network modes. - Chetan Gohil; Evan Roberts; Ryan C. Timms; Alex Skates; Cameron Higgins; Andrew Quinn 003; Usama Pervaiz; Joost van Amersfoort; Pascal Notin; Yarin Gal; Stanislaw Adaszewski; Mark W. Woolrich (NeuroImage, 2022)

Deep Deterministic Uncertainty: A New Simple Baseline. - Jishnu Mukhoti; Andreas Kirsch 002; Joost van Amersfoort; Philip H. S. Torr; Yarin Gal (CVPR, 2023)

Gemma 2: Improving Open Language Models at a Practical Size. - Morgane Rivière; Shreya Pathak; Pier Giuseppe Sessa; Cassidy Hardin; Surya Bhupatiraju; Léonard Hussenot; Thomas Mesnard; Bobak Shahriari; Alexandre Ramé; Johan Ferret; Peter Liu; Pouya Tafti; et al. (CoRR, 2024)