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A meta-machine-learning method for identifying effective descriptors of materials properties
Presenter
- Luca Ghiringhelli
October 4, 2017
IPAM
Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
Presenter
- Maziar Raissi
June 7, 2017
ICERM
Thermostatic Controls for Noisy Gradient Systems and Applications to Machine Learning
Presenter
- Ben Leimkuhler
July 30, 2015
ICERM
The Entropic Barrier: A Simple and Optimal Universal Self-Concordant Barrier
Presenter
- Sébastien Bubeck
February 25, 2015
IMA
Hybrid twins for materials processing: combining physics-based simulations and data-driven models
Presenter
- Benjamin Klusemann
December 3, 2025
IMSI
Enhancing CFD simulations for digital twins by model reduction and scientific machine learning
Presenter
- Gianluigi Rozza
November 12, 2025
IMSI
Huan Lei - Energy-stable machine-learning model of non-Newtonian hydrodynamics w/ molecular fidelity
Presenter
- Huan Lei
October 8, 2025
IPAM
Software Ecosystems for High-Performance Computing: Reflections, Challenges and Opportunities
Presenter
- Lois McInnes
September 14, 2025
ICERM
Michele Pavanello - Learning functional theories of the 1- and 2-electron reduced density matrices
Presenter
- Michele Pavanello
April 1, 2025
IPAM
Adityanarayanan Radhakrishnan - How do neural networks learn features from data? - IPAM at UCLA
Presenter
- Adityanarayanan Radhakrishnan
October 18, 2024
IPAM
Graph learning models: theoretical understanding, limitations and enhancements
Presenter
- Yusu Wang
April 25, 2024
IMSI