James Urquhart Allingham

21 papers A* 6Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2025 — ed.
Symposium on Advances in Approximate Bayesian Inference, NTU College of Computing and Data Science, Singapore, 29 April 2025.
AABI
James Urquhart Allingham, Siddharth Swaroop
2024 A* conf
A Generative Model of Symmetry Transformations.
NeurIPS
James Urquhart Allingham, Bruno Mlodozeniec, Shreyas Padhy, Javier Antorán, David Krueger, Richard E. Turner, Eric T. Nalisnick, José Miguel Hernández-Lobato
2024 J jnl
A Generative Model of Symmetry Transformations.
CoRR
James Urquhart Allingham, Bruno Kacper Mlodozeniec, Shreyas Padhy, Javier Antorán, David Krueger, Richard E. Turner, Eric T. Nalisnick, José Miguel Hernández-Lobato
2023 A* conf
A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models.
ICML
James Urquhart Allingham, Jie Ren, Michael W. Dusenberry, Xiuye Gu, Yin Cui, Dustin Tran, Jeremiah Zhe Liu, Balaji Lakshminarayanan
2023 J jnl
A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models.
CoRR
James Urquhart Allingham, Jie Ren, Michael W. Dusenberry, Jeremiah Zhe Liu, Xiuye Gu, Yin Cui, Dustin Tran, Balaji Lakshminarayanan
2023 A* conf
Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity.
NeurIPS
Metod Jazbec, James Urquhart Allingham, Dan Zhang, Eric T. Nalisnick
2023 J jnl
Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity.
CoRR
Metod Jazbec, James Urquhart Allingham, Dan Zhang, Eric T. Nalisnick
2022 A* conf
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning.
ICML
Javier Antorán, David Janz, James Urquhart Allingham, Erik A. Daxberger, Riccardo Barbano, Eric T. Nalisnick, José Miguel Hernández-Lobato
2022 J jnl
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning.
CoRR
Javier Antorán, David Janz, James Urquhart Allingham, Erik A. Daxberger, Riccardo Barbano, Eric T. Nalisnick, José Miguel Hernández-Lobato
2022 J jnl
Deep Classifiers with Label Noise Modeling and Distance Awareness.
Trans. Mach. Learn. Res.
Vincent Fortuin, Mark Collier, Florian Wenzel, James Urquhart Allingham, Jeremiah Zhe Liu, Dustin Tran, Balaji Lakshminarayanan, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou
2022 J jnl
Sparse MoEs meet Efficient Ensembles.
Trans. Mach. Learn. Res.
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, Rodolphe Jenatton
2021 — conf
Addressing Bias in Active Learning with Depth Uncertainty Networks... or Not.
ICBINB@NeurIPS
Chelsea Murray, James Urquhart Allingham, Javier Antorán, José Miguel Hernández-Lobato
2021 J jnl
Addressing Bias in Active Learning with Depth Uncertainty Networks... or Not.
CoRR
Chelsea Murray, James Urquhart Allingham, Javier Antorán, José Miguel Hernández-Lobato
2021 A* conf
Bayesian Deep Learning via Subnetwork Inference.
ICML
Erik A. Daxberger, Eric T. Nalisnick, James Urquhart Allingham, Javier Antorán, José Miguel Hernández-Lobato
2021 J jnl
Deep Classifiers with Label Noise Modeling and Distance Awareness.
CoRR
Vincent Fortuin, Mark Collier, Florian Wenzel, James Urquhart Allingham, Jeremiah Z. Liu, Dustin Tran, Balaji Lakshminarayanan, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou
2021 J jnl
Depth Uncertainty Networks for Active Learning.
CoRR
Chelsea Murray, James Urquhart Allingham, Javier Antorán, José Miguel Hernández-Lobato
2021 J jnl
Sparse MoEs meet Efficient Ensembles.
CoRR
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, Rodolphe Jenatton
2020 A* conf
Depth Uncertainty in Neural Networks.
NeurIPS
Javier Antorán, James Urquhart Allingham, José Miguel Hernández-Lobato
2020 J jnl
Depth Uncertainty in Neural Networks.
CoRR
Javier Antorán, James Urquhart Allingham, José Miguel Hernández-Lobato
2020 J jnl
Expressive yet Tractable Bayesian Deep Learning via Subnetwork Inference.
CoRR
Erik A. Daxberger, Eric T. Nalisnick, James Urquhart Allingham, Javier Antorán, José Miguel Hernández-Lobato
2020 J jnl
Variational Depth Search in ResNets.
CoRR
Javier Antorán, James Urquhart Allingham, José Miguel Hernández-Lobato