timrudner
PhD Candidate in Computer Science, University of Oxford. Member of @OATML and @OxMLCS. Supervised by @yaringal and @ywteh.
Oxford, UK
Pinned Repositories
nppac
Code to accompany the paper 'On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations'
bdl-benchmarks
Bayesian Deep Learning Benchmarks
FSVI
Code for the paper 'Tractable Function-Space Variational Inference in Bayesian Neural Networks'
function-space-empirical-bayes
Code for the paper 'Function-Space Regularization in Neural Networks: A Probabilistic Perspective'
group-aware-priors
ml-reading-groups
Oxford Machine Learning Reading Groups
multi3net
Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery
neural-tangents
Fast and Easy Infinite Neural Networks in Python
S-FSVI
Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'
snr_issues_in_deep_gps
Code to accompany the paper 'On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes'
timrudner's Repositories
timrudner/S-FSVI
Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'
timrudner/FSVI
Code for the paper 'Tractable Function-Space Variational Inference in Bayesian Neural Networks'
timrudner/function-space-empirical-bayes
Code for the paper 'Function-Space Regularization in Neural Networks: A Probabilistic Perspective'
timrudner/ml-reading-groups
Oxford Machine Learning Reading Groups
timrudner/snr_issues_in_deep_gps
Code to accompany the paper 'On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes'
timrudner/group-aware-priors
timrudner/bdl-benchmarks
Bayesian Deep Learning Benchmarks
timrudner/multi3net
Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery
timrudner/neural-tangents
Fast and Easy Infinite Neural Networks in Python
timrudner/smac
SMAC: The StarCraft Multi-Agent Challenge
timrudner/VIREL
An accompanying repo for the NeurIPS 2019 VIREL paper