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Sarah Haigh - Probing atomic behaviour in liquids with STEM : opportunities for machine learning
Presenter
- Sarah Haigh
November 30, 2022
IPAM
Raymond Clay - Machine Learning in Equation of State and Transport Modeling at Extreme Conditions
Presenter
- Raymond Clay
May 24, 2022
IPAM
Applications of machine learning in low-latency electromagnetic counterpart inference from gravitational waves
Presenter
- Deep Chatterjee
November 29, 2021
IPAM
How to assess scientific machine learning models? Prediction errors and predictive uncertainty quantification
Presenter
- Matthias Rupp
November 21, 2019
IPAM
How Much Is a Dataset Worth? Scaling Laws, the Vendi Score, and Matrix Spectral Functions
Presenter
- Jeffrey Bilmes
July 1, 2026
ICERM
New Problems and Perspectives on Sampling, Memory, and Learning
Presenter
- Gregory Valiant
April 13, 2021
IMSI
New Progress on Stochastic Variance-Reduced Methods in Machine Learning: Adaptive Restart and Distributed Optimization
Presenter
- Qihang Lin
December 12, 2017
IMA
Partial Difference Operators on Weighted Graphs for Point Cloud Processing - From 3D Surfaces to Machine Learning
Presenter
- Daniel Tenbrinck
February 9, 2016
IPAM
Carlos Bravo Prieto - Understanding quantum machine learning also requires rethinking generalization
Presenter
- Carlos Prieto
October 19, 2023
IPAM