Interests
- Machine learning
- Optimal transport
- Gaussian processes
Blog posts
Publications
- Optimal Transport for Offline Imitation Learning (2023)
- Optimal Transport for Offline Imitation Learning (2022)
- Riemannian Convex Potential Flows (2021)
- Aligning Time Series on Incomparable Spaces (2021)
- Estimating Barycenters of Measures in High Dimensions (2020)
- Healing Products of Gaussian Process Experts (2020)
- Aligning Time Series on Incomparable Spaces (2020)
- On the Gromov-Wasserstein distance and Coupled Deep Generative Models (2019)