| Neural Spline Flows C Durkan, A Bekasov, I Murray, G Papamakarios Advances in Neural Information Processing Systems 32, 7509-7520, 2019 | 886 | 2019 |
| Maximum Likelihood Training of Score-Based Diffusion Models Y Song, C Durkan, I Murray, S Ermon Advances in Neural Information Processing Systems 34, 1415-1428, 2021 | 624 | 2021 |
| --a toolkit for simulation-based inference A Tejero-Cantero, J Boelts, M Deistler, JM Lueckmann, C Durkan, ... Journal of Open Source Software 5 (52), 2505, 2020 | 303* | 2020 |
| On Contrastive Learning for Likelihood-Free Inference C Durkan, I Murray, G Papamakarios Proceedings of the 37th International Conference on Machine Learning 119 …, 2020 | 142 | 2020 |
| Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC Y Du, C Durkan, R Strudel, JB Tenenbaum, S Dieleman, R Fergus, ... Proceedings of the 40th International Conference on Machine Learning, 2023 | 141 | 2023 |
| nflows: normalizing flows in PyTorch C Durkan, A Bekasov, I Murray, G Papamakarios Version v0 14, 2020 | 107* | 2020 |
| Continuous diffusion for categorical data S Dieleman, L Sartran, A Roshannai, N Savinov, Y Ganin, PH Richemond, ... arXiv preprint arXiv:2211.15089, 2022 | 95 | 2022 |
| Cubic-Spline Flows C Durkan, A Bekasov, I Murray, G Papamakarios 1st Workshop on Invertible Neural Networks and Normalizing Flows (ICML), 2019 | 90 | 2019 |
| Autoregressive Energy Machines C Nash, C Durkan Proceedings of the 36th International Conference on Machine Learning 97 …, 2019 | 66 | 2019 |
| Optical ultrafast random number generation at 1 Tb/s using a turbulent semiconductor ring cavity laser T Butler, C Durkan, D Goulding, S Slepneva, B Kelleher, SP Hegarty, ... Optics letters 41 (2), 388-391, 2016 | 63 | 2016 |
| Sequential Neural Methods for Likelihood-Free Inference C Durkan, G Papamakarios, I Murray 3rd workshop on Bayesian Deep Learning (NeurIPS), 2018 | 31 | 2018 |
| sbi reloaded: a toolkit for simulation-based inference workflows J Boelts, M Deistler, M Gloeckler, Á Tejero-Cantero, JM Lueckmann, ... arXiv preprint arXiv:2411.17337, 2024 | | 2024 |
Iain MurraySchool of Informatics, University of EdinburghE-mailová adresa ověřena na: ed.ac.uk