Conor Durkan

I am a research scientist at DeepMind in London, and a final year PhD student at the University of Edinburgh.

Research

2021

Maximum Likelihood Training of Score-Based Diffusion Models
Yang Song, Conor Durkan, Iain Murray, Stefano Ermon
Pre-print, 2021
[arXiv]

2020

On Contrastive Learning for Likelihood-free Inference
Conor Durkan, Iain Murray, George Papamakarios
International Conference on Machine Learning, 2020
[arXiv] [GitHub]

2019

Neural Spline Flows
Conor Durkan, Artur Bekasov, Iain Murray, George Papamakarios
Advances in Neural Information Processing Systems, 2019
[arXiv] [GitHub]

Cubic-Spline Flows
Conor Durkan, Artur Bekasov, Iain Murray, George Papamakarios
1st workshop on Invertible Neural Networks and Normalizing Flows (ICML), 2019
[arXiv] [GitHub]

Autoregressive Energy Machines
Charlie Nash, Conor Durkan
International Conference on Machine Learning, 2019
[arXiv] [GitHub]

2018

Sequential Neural Methods for Likelihood-free Inference
Conor Durkan, George Papamakarios, Iain Murray
3rd workshop on Bayesian Deep Learning (NeurIPS), 2018
[arXiv]

conormdurkan
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Contact

Email: conor.durkan@ed.ac.uk
Office: Room 2.51, Informatics Forum, 10 Crichton Street, Edinburgh, EH89AB