Laurence Aitchison
Laurence Aitchison
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Cited by
Cited by
With or without you: predictive coding and Bayesian inference in the brain
L Aitchison, M Lengyel
Current opinion in neurobiology 46, 219-227, 2017
Deep convolutional networks as shallow Gaussian processes
A Garriga-Alonso, CE Rasmussen, L Aitchison
International Conference on Learning Representations 3, 2018
Understanding the effectiveness of government interventions against the resurgence of COVID-19 in Europe
M Sharma, S Mindermann, C Rogers-Smith, G Leech, B Snodin, J Ahuja, ...
Nature communications 12 (1), 5820, 2021
Doubly Bayesian analysis of confidence in perceptual decision-making
L Aitchison, D Bang, B Bahrami, PE Latham
PLoS computational biology 11 (10), e1004519, 2015
Bayesian neural network priors revisited
V Fortuin, A Garriga-Alonso, SW Ober, F Wenzel, G Rätsch, RE Turner, ...
arXiv preprint arXiv:2102.06571, 2021
Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inference
R Echeveste, L Aitchison, G Hennequin, M Lengyel
Nature neuroscience 23 (9), 1138-1149, 2020
Confidence matching in group decision-making
D Bang, L Aitchison, R Moran, S Herce Castanon, B Rafiee, A Mahmoodi, ...
Nature Human Behaviour 1 (6), 0117, 2017
Zipf’s law arises naturally when there are underlying, unobserved variables
L Aitchison, N Corradi, PE Latham
PLoS computational biology 12 (12), e1005110, 2016
Synaptic plasticity as Bayesian inference
L Aitchison, J Jegminat, JA Menendez, JP Pfister, A Pouget, PE Latham
Nature Neuroscience, 1-7, 2021
Mask wearing in community settings reduces SARS-CoV-2 transmission
G Leech, C Rogers-Smith, JT Monrad, JB Sandbrink, B Snodin, R Zinkov, ...
Proceedings of the National Academy of Sciences 119 (23), e2119266119, 2022
The Hamiltonian brain: Efficient probabilistic inference with excitatory-inhibitory neural circuit dynamics
L Aitchison, M Lengyel
PLoS computational biology 12 (12), e1005186, 2016
Active dendritic integration as a mechanism for robust and precise grid cell firing
C Schmidt-Hieber, G Toleikyte, L Aitchison, A Roth, BA Clark, T Branco, ...
Nature neuroscience 20 (8), 1114-1121, 2017
Fast sampling-based inference in balanced neuronal networks
G Hennequin, L Aitchison, M Lengyel
Advances in neural information processing systems 27, 2014
A statistical theory of cold posteriors in deep neural networks
L Aitchison
arXiv preprint arXiv:2008.05912, 2020
Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes
SW Ober, L Aitchison
International Conference on Machine Learning, 8248-8259, 2021
Why bigger is not always better: on finite and infinite neural networks
L Aitchison
International Conference on Machine Learning, 156-164, 2020
Deep kernel processes
L Aitchison, A Yang, SW Ober
International Conference on Machine Learning, 130-140, 2021
Data augmentation in Bayesian neural networks and the cold posterior effect
S Nabarro, S Ganev, A Garriga-Alonso, V Fortuin, M van der Wilk, ...
Uncertainty in Artificial Intelligence, 1434-1444, 2022
Model-based Bayesian inference of neural activity and connectivity from all-optical interrogation of a neural circuit
L Aitchison, L Russell, AM Packer, J Yan, P Castonguay, M Hausser, ...
Advances in neural information processing systems 30, 2017
InfoNCE is variational inference in a recognition parameterised model
L Aitchison, S Ganev
arXiv preprint arXiv:2107.02495, 2021
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