Sustainability and Machine Learning Group
Sustainability and Machine Learning Group
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Blog posts
Riemannian Convex Potential Maps (Jul 2021)
Aligning Time Series on Incomparable Space (Jul 2020)
Estimating Barycenters of Measures in High Dimensions (Jul 2020)
Healing Products of Gaussian Process Experts (Jul 2020)
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)
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