| Diffusion Schrödinger Bridge Matching Y Shi, V De Bortoli, A Campbell, A Doucet Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 43 | 2023 |
| Conditional simulation using diffusion Schrödinger bridges Y Shi, V De Bortoli, G Deligiannidis, A Doucet Uncertainty in Artificial Intelligence, 1792-1802, 2022 | 39 | 2022 |
| On PAC-Bayesian reconstruction guarantees for VAEs BE Chérief-Abdellatif, Y Shi, A Doucet, B Guedj International conference on artificial intelligence and statistics, 3066-3079, 2022 | 20 | 2022 |
| Online variational filtering and parameter learning A Campbell, Y Shi, T Rainforth, A Doucet Advances in Neural Information Processing Systems 34, 18633-18645, 2021 | 16 | 2021 |
| From denoising diffusions to denoising Markov models J Benton, Y Shi, V De Bortoli, G Deligiannidis, A Doucet Journal of the Royal Statistical Society Series B, 2023 | 13 | 2023 |
| On multilevel Monte Carlo unbiased gradient estimation for deep latent variable models Y Shi, R Cornish International Conference on Artificial Intelligence and Statistics, 3925-3933, 2021 | 13 | 2021 |
| Alpha-divergence variational inference meets importance weighted auto-encoders: Methodology and asymptotics K Daudel, J Benton, Y Shi, A Doucet Journal of Machine Learning Research 24 (243), 1-83, 2023 | 5 | 2023 |
| Authors’ reply to the Discussion of ‘From denoising diffusions to denoising Markov models’ at the Discussion Meeting on ‘Probabilistic and statistical aspects of machine learning’ J Benton, Y Shi, V De Bortoli, G Deligiannidis, A Doucet Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2024 | | 2024 |
Arnaud DoucetProfessor of Statistics, University of Oxford & Research Scientist, Google DeepMindstats.ox.ac.uk의 이메일 확인됨
