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Mark van der Wilk
Mark van der Wilk
1
Affiliations
Affiliations
Imperial College London
14
papers
421
total citations
papers (14)
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty
NEURIPS 2020
arXiv
129
citations
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations
NEURIPS 2022
arXiv
54
citations
Relaxing Equivariance Constraints with Non-stationary Continuous Filters
NEURIPS 2022
arXiv
45
citations
Speedy Performance Estimation for Neural Architecture Search
NEURIPS 2021
arXiv
41
citations
Deep Neural Networks as Point Estimates for Deep Gaussian Processes
NEURIPS 2021
arXiv
33
citations
A Bayesian Perspective on Training Speed and Model Selection
NEURIPS 2020
arXiv
25
citations
SnAKe: Bayesian Optimization with Pathwise Exploration
NEURIPS 2022
arXiv
23
citations
Learning Layer-wise Equivariances Automatically using Gradients
NEURIPS 2023
arXiv
21
citations
Rethinking Aleatoric and Epistemic Uncertainty
ICML 2025
arXiv
20
citations
A Meta-Learning Approach to Bayesian Causal Discovery
ICLR 2025
arXiv
12
citations
Memory safe computations with XLA compiler
NEURIPS 2022
arXiv
9
citations
Bivariate Causal Discovery using Bayesian Model Selection
ICML 2024
arXiv
7
citations
Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning
NEURIPS 2025
arXiv
2
citations
Learning in Deep Factor Graphs with Gaussian Belief Propagation
ICML 2024
arXiv
0
citations