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Papers - James Thornton
Papers
You can also find my articles on my Google Scholar profile.
- Riemannian Diffusion Schrodinger Bridge, ICML Continuous Time Methods in Machine Learning, 2022
- James Thornton, Valentin de Bortoli, Michael Hutchinson, Emile Matheiu, Yee Whye Teh, Arnaud Doucet
- [Paper]
- Rethinking Initialization of the Sinkhorn Algorithm, AISTATS 2023 Oral (top 1.9%, 32 of 1698 submissions).
- Riemannian Score Based Generative Modeling, NeuriPS 2022 outstanding paper award (top 0.3% of ~10,000 submissions)
- Valentin de Bortoli, Emile Matheiu, Michael Hutchinson, James Thornton, Yee Whye Teh, Arnaud Doucet
- [Paper]
- Simulating Diffusion Bridges with Score Matching, under review, 2021
- Jeremy Heng, Valentin De Bortoli, Arnaud Doucet, James Thornton
- [Paper]
- Diffusion Schrodinger Bridge and Score Based Generative Modeling, NeurIPS spotlight (top 5%), 2021
- Valentin De Bortoli, James Thornton, Jeremy Heng, Arnaud Doucet
- [Paper][Code][(cleaner) Code]
- Differentiable Particle Filtering via Entropy Regularized Optimal Transport, ICML 2021 Oral/ long talk (top 3%)