Depth Uncertainty in Neural Networks. - Javier Antorán; James Urquhart Allingham; José Miguel Hernández-Lobato (NeurIPS, 2020)

Variational Depth Search in ResNets. - Javier Antorán; James Urquhart Allingham; José Miguel Hernández-Lobato (CoRR, 2020)

Expressive yet Tractable Bayesian Deep Learning via Subnetwork Inference. - Erik A. Daxberger; Eric T. Nalisnick; James Urquhart Allingham; Javier Antorán; José Miguel Hernández-Lobato (CoRR, 2020)

Addressing Bias in Active Learning with Depth Uncertainty Networks... or Not. - Chelsea Murray; James Urquhart Allingham; Javier Antorán; José Miguel Hernández-Lobato (ICBINB@NeurIPS, 2021)

Bayesian Deep Learning via Subnetwork Inference. - Erik A. Daxberger; Eric T. Nalisnick; James Urquhart Allingham; Javier Antorán; José Miguel Hernández-Lobato (ICML, 2021)

Depth Uncertainty Networks for Active Learning. - Chelsea Murray; James Urquhart Allingham; Javier Antorán; José Miguel Hernández-Lobato (CoRR, 2021)

Adapting the Linearised Laplace Model Evidence for Modern Deep Learning. - Javier Antorán; David Janz; James Urquhart Allingham; Erik A. Daxberger; Riccardo Barbano; Eric T. Nalisnick; José Miguel Hernández-Lobato (ICML, 2022)

Sparse MoEs meet Efficient Ensembles. - James Urquhart Allingham; Florian Wenzel; Zelda E. Mariet; Basil Mustafa; Joan Puigcerver; Neil Houlsby; Ghassen Jerfel; Vincent Fortuin; Balaji Lakshminarayanan; Jasper Snoek; Dustin Tran; Carlos Riquelme Ruiz; et al. (Trans. Mach. Learn. Res., 2022)

Deep Classifiers with Label Noise Modeling and Distance Awareness. - Vincent Fortuin; Mark Collier; Florian Wenzel; James Urquhart Allingham; Jeremiah Zhe Liu; Dustin Tran; Balaji Lakshminarayanan; Jesse Berent; Rodolphe Jenatton; Effrosyni Kokiopoulou (Trans. Mach. Learn. Res., 2022)

A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models. - James Urquhart Allingham; Jie Ren 006; Michael W. Dusenberry; Xiuye Gu; Yin Cui; Dustin Tran; Jeremiah Zhe Liu; Balaji Lakshminarayanan (ICML, 2023)

Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity. - Metod Jazbec; James Urquhart Allingham; Dan Zhang; Eric T. Nalisnick (NeurIPS, 2023)

A Generative Model of Symmetry Transformations. - James Urquhart Allingham; Bruno Mlodozeniec; Shreyas Padhy; Javier Antorán; David Krueger 001; Richard E. Turner; Eric T. Nalisnick; José Miguel Hernández-Lobato (NeurIPS, 2024)