Conor Durkan

nflows: normalizing flows in PyTorch

Conor Durkan, Artur Bekasov, Iain Murray et al. · Zenodo (CERN European Organization for Nuclear Research) · 2020 · 81 citations · Full text

Maximum Likelihood Training of Score-Based Diffusion Models

Yang Song, Conor Durkan, Iain Murray et al. · arXiv (Cornell University) · 2021 · 46 citations · Full text

Engineering, Machine Learning, Maximum Likelihood Training +17

Neural Spline Flows

Conor Durkan, Artur Bekasov, Iain Murray et al. · arXiv (Cornell University) · 2019 · 27 citations · Full text

Normalizing Flow Models, Image Analysis, Machine Learning +13

On Contrastive Learning for Likelihood-free Inference

Conor Durkan, Iain Murray, George Papamakarios · arXiv (Cornell University) · 2020 · 21 citations · Full text

Stochastic Simulation, Likelihood-free Methods, Engineering +13

Continuous diffusion for categorical data

Sander Dieleman, Laurent Sartran, Arman Roshannai et al. · arXiv (Cornell University) · 2022 · 21 citations · Full text

Engineering, Machine Learning, Multimodal Learning +20