Conor Durkan
University of Edinburgh(GB)
Publications by Year
Research Areas
Generative Adversarial Networks and Image Synthesis, Gaussian Processes and Bayesian Inference, Model Reduction and Neural Networks, Machine Learning and Algorithms, Topic Modeling
Most-Cited Works
- → nflows: normalizing flows in PyTorch(2020)81 cited
- → Image datasets for Neural Spline Flows experiments(2019)75 cited
- → Maximum Likelihood Training of Score-Based Diffusion Models(2021)46 cited
- → Neural Spline Flows(2019)27 cited
- → On Contrastive Learning for Likelihood-free Inference(2020)21 cited
- → Continuous diffusion for categorical data(2022)21 cited
- → Cubic-Spline Flows(2019)20 cited
- → Autoregressive Energy Machines(2019)19 cited
- → Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC(2023)14 cited