Start date cannot be after end date.
Jiajia Yu - Learning and Inference in Mean-Field Games - IPAM at UCLA
Presenter
- Jiajia Yu
July 16, 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
Joel Tropp - Scalable semidefinite programming - IPAM at UCLA
Presenter
- Joel Tropp
May 21, 2025
IPAM
Franca Hoffmann - Covariance-Modulated Optimal Transport Geometry - IPAM at UCLA
Presenter
- Franca Hoffmann
April 29, 2025
IPAM
Sonja Petrovic - Probability and Randomness in Nonlinear Algebra - IPAM at UCLA
Presenter
- Sonja Petrovic
February 12, 2025
IPAM
Ion Nechita - Monogamy of highly symmetric states - IPAM at UCLA
Presenter
- Ion Nechita
February 6, 2024
IPAM
Dong An - Linear combination of Hamiltonian simulation for non-unitary dynamics - IPAM at UCLA
Presenter
- Dong An
October 5, 2023
IPAM
Optimization, Complexity and Math (or, can we prove P!=NP by gradient descent?)
Presenter
- Avi Wigderson
September 19, 2023
IAS
Elias Khalil - Neur2SP: Neural Two-Stage Stochastic Programming - IPAM at UCLA
Presenter
- Elias Khalil
March 2, 2023
IPAM
Pascal Fontaine - SMT: quantifiers, and future prospects - IPAM at UCLA
Presenter
- Pascal Fontaine
February 16, 2023
IPAM
Anna Little - Unbiasing Procedures for Scale-invariant Multi-reference Alignment - IPAM at UCLA
Presenter
- Anna Little
November 28, 2022
IPAM
