| Diffusion Schrödinger bridge with applications to score-based generative modeling V De Bortoli*, J Thornton*, J Heng, A Doucet Advances in Neural Information Processing Systems 34, 17695-17709, 2021 | 468 | 2021 |
| Riemannian score-based generative modeling V De Bortoli, E Mathieu, M Hutchinson, J Thornton, YW Teh, A Doucet Advances in Neural Information Processing Systems 35, 2022 | 187 | 2022 |
| Differentiable particle filtering via entropy-regularized optimal transport J Thornton*, A Corenflos*, G Deligiannidis, A Doucet International Conference on Machine Learning, 2100-2111, 2021 | 94 | 2021 |
| Simulating diffusion bridges with score matching J Heng, V De Bortoli, A Doucet, J Thornton arXiv preprint arXiv:2111.07243, 2021 | 41 | 2021 |
| Riemannian score-based generative modelling VD Bortoli, E Mathieu, MJ Hutchinson, J Thornton, YW Teh, A Doucet Advances in Neural Information Processing Systems 35, 2022 | 23 | 2022 |
| Riemannian Diffusion Schrödinger Bridge J Thornton, M Hutchinson, E Mathieu, V De Bortoli, YW Teh, A Doucet ICML 2022 Continuous time methods in ML, 2022 | 21 | 2022 |
| Rethinking Initialization of the Sinkhorn Algorithm J Thornton, M Cuturi AISTATS 2023, 2022 | 13 | 2022 |
| Contrasting multiple representations with the multi-marginal matching gap Z Piran, M Klein, J Thornton, M Cuturi arXiv preprint arXiv:2405.19532, 2024 | 4 | 2024 |
| Progressive entropic optimal transport solvers P Kassraie, AA Pooladian, M Klein, J Thornton, J Niles-Weed, M Cuturi Advances in Neural Information Processing Systems 37, 19561-19590, 2025 | 3 | 2025 |
| Simple reflow: Improved techniques for fast flow models B Kim, YG Hsieh, M Klein, M Cuturi, JC Ye, B Kawar, J Thornton arXiv preprint arXiv:2410.07815, 2024 | 2 | 2024 |
| Differentiable cost-parameterized monge map estimators S Howard, G Deligiannidis, P Rebeschini, J Thornton arXiv preprint arXiv:2406.08399, 2024 | 2 | 2024 |
| Mechanisms of Projective Composition of Diffusion Models A Bradley, P Nakkiran, D Berthelot, J Thornton, JM Susskind arXiv preprint arXiv:2502.04549, 2025 | 1 | 2025 |
| Sparse Repellency for Shielded Generation in Text-to-image Diffusion Models M Kirchhof, J Thornton, P Ablin, L Béthune, E Ndiaye, M Cuturi arXiv preprint arXiv:2410.06025, 2024 | 1 | 2024 |
| The Masked Bouncy Particle Sampler: A Parallel, Chromatic, Piecewise-Deterministic Markov Chain Monte Carlo Method J Thornton https://jtt94.github.io/papers/2020-masked-bps, 2020 | 1 | 2020 |
| Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo J Thornton, L Bethune, R Zhang, A Bradley, P Nakkiran, S Zhai arXiv preprint arXiv:2502.12786, 2025 | | 2025 |
| Controlled Generation with Distilled Diffusion Energy Models and Sequential Monte Carlo J Thornton, L Béthune, R ZHANG, A Bradley, P Nakkiran, S Zhai The 28th International Conference on Artificial Intelligence and Statistics 2025, 2024 | | 2024 |
| Careful with that scalpel: improving gradient surgery with an EMA YG Hsieh, J Thornton, E Ndiaye, M Klein, M Cuturi, P Ablin arXiv preprint arXiv:2402.02998, 2024 | | 2024 |
| Progressive Entropic Optimal Transport P Kassraie, AA Pooladian, M Klein, J Thornton, J Niles-Weed, M Cuturi NeurIPS 2024-Main track, 2024 | | 2024 |
| NeurIPS 2023 Workshop on Diffusion Models CM Bahjat Kawar, Valentin De Bortoli, James Thornton, Charlotte Bunne ... NeurIPS 2023, 2023 | | 2023 |
| Optimal transport based simulation methods for deep probabilistic models J Thornton University of Oxford, 2023 | | 2023 |
Arnaud DoucetGoogle DeepMindE-mail confirmado em google.com