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Yunchao Liu - Beyond worst-case mixing-time analysis in quantum Gibbs sampling - IPAM at UCLA
Presenter
- Yunchao Liu
January 13, 2026
IPAM
Bernard Chazelle - New Tools for Analyzing Collective Behavior - IPAM at UCLA
Presenter
- Bernard Chazelle
November 19, 2024
IPAM
Exact Lagrangians in Cotangent Bundles with Locally Conformally Symplectic Structure
Presenter
- Adrien Currier
October 25, 2024
IAS
Nonlinear Model Reduction for Slow-Fast Stochastic Systems near Unknown Invariant Manifolds
Presenter
- Sichen Yang
May 13, 2024
IMSI
Di Fang - Numerical Analysis for Hamiltonian Simulation and Hamiltonian Learning - IPAM at UCLA
Presenter
- Di Fang
February 7, 2024
IPAM
Thomas Hudson - Atomistic and continuum approaches to nanoscale crystal plasticity - IPAM at UCLA
Presenter
- Thomas Hudson
April 20, 2023
IPAM
Steve Brunton - Machine Learning for Scientific Discovery, with Examples in Fluid Mechanics
Presenter
- Steve Brunton
January 24, 2023
IPAM
Claudio Mazzoli - Correlation Imaging: a view on complex matter across space and time - IPAM at UCLA
Presenter
- Claudio Mazzoli
October 26, 2022
IPAM
Jarrod McClean - Dequantization and quantum advantage in learning from experiments
Presenter
- Jarrod McClean
January 25, 2022
IPAM
Coordinates, governing equations and limits of model discovery
Presenter
- J. Nathan Kutz
October 16, 2019
IPAM
Machine Learning in Materials Science: Recent Progress and Critical Next Steps
Presenter
- Rampi Ramprasad
September 26, 2016
IPAM