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A Rank-Minimization Approach to Learning Dynamical Systems from Frequency Response Data
Presenter
- Pawan Goyal
February 20, 2020
ICERM
Machine learning constitutive models of inelastic materials with microstructure
Presenter
- Reese Jones
June 6, 2023
ICERM
Yuanqi Du - Bridging Non-equilibrium Simulation and Probabilistic Machine Learning - IPAM at UCLA
Presenter
- Yuanqi Du
July 16, 2025
IPAM
The mean-squared-error is not enough: Improved prediction of chaotic dynamical systems with scientific machine learning
Presenter
- Romit Maulik
June 13, 2025
IMSI
Kyunghyun Cho - Lab-in-the-loop de novo antibody design - what are we missing from machine learning?
Presenter
- Kyunghyun Cho
January 25, 2023
IPAM
Terence Tao - Machine assistance and the future of research mathematics - IPAM at UCLA
Presenter
- Terence Tao
February 10, 2026
IPAM
Pushing The Scalability Limits in Sparse Matrix Operations
Presenter
- Luke Olson
November 6, 2018
IPAM
Build It and They Will Come: How Hardware Influences Large-Scale Simulation
Presenter
- Jeffrey Hittinger
September 14, 2018
IPAM
Stop talking to me - some communication-avoiding programming patterns
Presenter
- Tobias Weinzierl
November 28, 2018
IPAM
The SUNDIALS Suite of Time Integrators and Nonlinear Solvers: Its Capabilities, Design, and Role in Ushering New Methods Into Scientific Applications
Presenter
- Carol Woodward
January 11, 2022
ICERM