Start date cannot be after end date.
Lars Ruthotto - Mixed-Precision Algorithms for Training Neural ODEs - IPAM at UCLA
Presenter
- Lars Ruthotto
July 14, 2025
IPAM
Ziv Goldfeld - Gromov-Wasserstein Alignment: Statistics, Computation, and Geometry - IPAM at UCLA
Presenter
- Ziv Goldfeld
May 20, 2025
IPAM
Ricardo Baptista - Conditional simulation via entropic optimal transport - IPAM at UCLA
Presenter
- Ricardo Baptista
May 20, 2025
IPAM
Dávid Papp - Nonsymmetric conic optimization & dual certificates for sums-of-squares - IPAM at UCLA
Presenter
- Dávid Papp
May 19, 2025
IPAM
Blake Bordelon - Infinite limits and scaling laws of neural networks - IPAM at UCLA
Presenter
- Blake Bordelon
October 16, 2024
IPAM
Bartolomeo Stellato - Learning for Decision-Making Under Uncertainty - IPAM at UCLA
Presenter
- Bartolomeo Stellato
March 1, 2023
IPAM
Xavier Bresson - Graph MLP-Mixer for Molecular Analysis - IPAM at UCLA
Presenter
- Xavier Bresson
January 25, 2023
IPAM
Mark Tuckerman - From A to B via a synthesis of rare-event sampling and machine learning
Presenter
- Mark Tuckerman
January 24, 2023
IPAM
Dong An - Improved complexity estimation for Hamiltonian simulation with Trotter formula
Presenter
- Dong An
January 25, 2022
IPAM
Nisha Chandramoorthy - Toward physical generative modeling - IPAM at UCLA
Presenter
- Nisha Chandramoorthy
July 16, 2025
IPAM
Moo K. Chung - Tutorial: Topological Data Analysis on Dynamic Brain Networks - IPAM at UCLA
Presenter
- Moo Chung
February 12, 2024
IPAM