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Generative and variational modeling for quantum many-body physics
Presenter
- Giuseppe Carleo
September 27, 2019
IPAM
Lars Ruthotto - Mixed-Precision Algorithms for Training Neural ODEs - IPAM at UCLA
Presenter
- Lars Ruthotto
July 14, 2025
IPAM
Beyond Gradient Descent: Realizing the Power of Higher Order Solvers on Scalable Platforms
Presenter
- Ananth Grama
November 7, 2018
IPAM
Towards prediction uncertainty for computational physics-based models, agent-based models, and machine learning models
Presenter
- Dave Higdon
May 19, 2025
IMSI
Boris Kozinsky - Uncertainty-aware machine learning models of many-body atomic interactions
Presenter
- Boris Kozinsky
April 17, 2023
IPAM
Ben Recht - Splitting the difference between deep and shallow solutions of inverse problems
Presenter
- Ben Recht
November 30, 2022
IPAM
Blending physics and machine learning to improve climate projections
Presenter
- Laure Zanna
October 9, 2020
IMSI
Understanding Neural Network Expressivity via Polyhedral Geometry
Presenter
- Christoph Hertrich
April 26, 2023
ICERM
Using Machine-Learning to Create Predictive Material Property Models
Presenter
- Chris Wolverton
September 26, 2016
IPAM
Physical constraints in machine learning models of electronic and atomic interactions
Presenter
- Boris Kozinsky
March 26, 2024
IMSI
Cynthia Rush - Is It Easier to Count Communities Than Find Them? - IPAM at UCLA
Presenter
- Cynthia Rush
February 28, 2024
IPAM