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Benjamin Zhang - Probabilistic operator learning: generative modeling and uncertainty quantification
Presenter
- Benjamin Zhang
July 15, 2025
IPAM
Siting Liu - Score-Based Generative Models through the Lens of Wasserstein Proximal Operators
Presenter
- Siting Liu
July 15, 2025
IPAM
Anna Korba - Some novel kernel-based divergences between probability distributions - IPAM at UCLA
Presenter
- Anna Korba
May 22, 2025
IPAM
Statistical inference in finite rank tensor regression models
Presenter
- Galen Reeves
May 8, 2025
IMSI
Franca Hoffmann - Covariance-Modulated Optimal Transport Geometry - IPAM at UCLA
Presenter
- Franca Hoffmann
April 29, 2025
IPAM
Advances in Active Learning and Emulation for Multi-Fidelity Simulations
Presenter
- Chih-Li Sung
April 4, 2025
IMSI
Simone Rademacher - Large deviations for Bose-Einstein condensates - IPAM at UCLA
Presenter
- Simone Rademacher
April 3, 2025
IPAM
On kernelized particle systems for sampling and quantization
Presenter
- Youssef Marzouk
April 2, 2025
IMSI