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Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
Presenter
- Maziar Raissi
June 7, 2017
ICERM
Using Machine-Learning to Create Predictive Material Property Models
Presenter
- Chris Wolverton
September 26, 2016
IPAM
Li Wang - Learning-enhanced structure preserving particle methods for Landau equation - IPAM at UCLA
Presenter
- Li Wang
July 15, 2025
IPAM
A Kernel-Based Approach for Modelling Gaussian Processes with Functional Information
Presenter
- Andrew Brown
May 22, 2025
IMSI
Giulia Luise - Learning to optimize transport plans - IPAM at UCLA
Presenter
- Giulia Luise
May 19, 2025
IPAM
From Dynamics to Algorithms for Optimization and Sampling
Presenter
- Andre Wibisono
June 24, 2024
ICERM
Randomization, Neutrality, and Fairness: "Sampling, Optimization, and Evaluating Tradeoffs in Redistricting"
Presenter
- Daryl DeFord
October 26, 2023
SLMath
Introductory Workshop: Algorithms, Fairness, and Equity: "Estimating and Controlling for Fairness via Sensitive Attribute Predictors"
Presenter
- Jeremias Sulam
August 30, 2023
SLMath
Patrick Riley - Symbolic Regression for Discovery of a DFT Functional - IPAM at UCLA
Presenter
- Patrick Riley
January 23, 2023
IPAM
Lucas Wagner - Compact representations of excited states from QMC, as data for low-energy models
Presenter
- Lucas Wagner
May 26, 2022
IPAM
Andrea Tirelli - Monte Carlo and Machine Learning Approaches in Quantum Mechanics - IPAM at UCLA
Presenter
- Andrea Tirelli
May 25, 2022
IPAM