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James Thornton
James Thornton
Apple | University of Oxford
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Title
Cited by
Cited by
Year
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
4322021
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
1842022
Differentiable particle filtering via entropy-regularized optimal transport
J Thornton*, A Corenflos*, G Deligiannidis, A Doucet
International Conference on Machine Learning, 2100-2111, 2021
952021
Simulating diffusion bridges with score matching
J Heng, V De Bortoli, A Doucet, J Thornton
arXiv preprint arXiv:2111.07243, 2021
402021
Riemannian score-based generative modelling
VD Bortoli, E Mathieu, MJ Hutchinson, J Thornton, YW Teh, A Doucet
Advances in Neural Information Processing Systems, 46, 2022
232022
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
182022
Rethinking Initialization of the Sinkhorn Algorithm
J Thornton, M Cuturi
AISTATS 2023, 2022
122022
Contrasting Multiple Representations with the Multi-Marginal Matching Gap
Z Piran, M Klein, J Thornton, M Cuturi
arXiv preprint arXiv:2405.19532, 2024
42024
Progressive Entropic Optimal Transport Solvers
P Kassraie, AA Pooladian, M Klein, J Thornton, J Niles-Weed, M Cuturi
arXiv preprint arXiv:2406.05061, 2024
32024
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
22024
Differentiable Cost-Parameterized Monge Map Estimators
S Howard, G Deligiannidis, P Rebeschini, J Thornton
arXiv preprint arXiv:2406.08399, 2024
12024
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
12020
Mechanisms of Projective Composition of Diffusion Models
A Bradley, P Nakkiran, D Berthelot, J Thornton, JM Susskind
arXiv preprint arXiv:2502.04549, 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
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
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
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Articles 1–19