Research output per year
Research output per year
Personal profile
Research Interests
Methods, tools, and applications for machine learning, including deep learning and content-based recommendation.
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Dive into the research topics where Conor Durkan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Maximum Likelihood Training of Score-Based Diffusion Models
Song, Y., Durkan, C., Murray, I. & Ermon, S., 6 Dec 2021, Advances in Neural Information Processing Systems 34. Neural Information Processing Systems Foundation, Inc, 14 p. (Advances in Neural Information Processing Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
On Contrastive Learning for Likelihood-free Inference
Durkan, C., Murray, I. & Papamakarios, G., 18 Jul 2020, Proceedings of the 37th International Conference on Machine Learning. PMLR, p. 2771-2781 15 p. (Proceedings of Machine Learning Research; vol. 119).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
Neural Spline Flows
Durkan, C., Bekasovs, A., Murray, I. & Papamakarios, G., 14 Dec 2019, Advances in Neural Information Processing Systems 32 (NeurIPS 2019). Neural Information Processing Systems Foundation, Inc, Vol. 32. p. 7511-7522 12 p. (Advances in Neural Information Processing Systems; vol. 32).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
Sequential Neural Methods for Likelihood-free Inference
Durkan, C., Papamakarios, G. & Murray, I., 2018, p. 1-9. 9 p.Research output: Contribution to conference › Paper › peer-review