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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
Li Wang - Learning-enhanced structure preserving particle methods for Landau equation - IPAM at UCLA
Presenter
- Li Wang
July 15, 2025
IPAM
Alex Cloninger - Linearized Optimal Transport to Predict Evolution of Stochastic Particle Systems
Presenter
- Alex Cloninger
July 15, 2025
IPAM
Stan Osher - A Characteristic-Based Deep Learning Framework for Hamilton–Jacobi Equations with Application to Optimal Transport
Presenter
- Stanley Osher
July 14, 2025
IPAM
Wenjing Liao - Exploiting Low-Dimensional Data Structures and Understanding Neural Scaling Laws of Transformers
Presenter
- Wenjing Liao
July 14, 2025
IPAM
Scott McCalla - Tracking bacterial growth using a nonlocal interfacial model - IPAM at UCLA
Presenter
- Scott McCalla
July 14, 2025
IPAM
Lars Ruthotto - Mixed-Precision Algorithms for Training Neural ODEs - IPAM at UCLA
Presenter
- Lars Ruthotto
July 14, 2025
IPAM
Shmuel Friedland - Barrier relaxations of the classical and quantum optimal transport problems
Presenter
- Shmuel Friedland
May 23, 2025
IPAM
Therese Landry - Quantum Wasserstein Distance on the Quantum Permutation Group - IPAM at UCLA
Presenter
- Therese Landry
May 23, 2025
IPAM
Jason Altschuler - Near-Linear Runtime for a Classical Matrix Preconditioning Algorithm
Presenter
- Jason Altschuler
May 22, 2025
IPAM
Sivaraman Balakrishnan - Stability Bounds for Smooth Optimal Transport Map, Statistical Implications
Presenter
- Sivaraman Balakrishnan
May 22, 2025
IPAM