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High-throughput experimentation and machine learning for materials discovery
Presenter
- Ichiro Takeuchi
October 4, 2017
IPAM
Practical Tutorial on Machine Learning for Electronic Structure Calculations
Presenter
- Matthias Rupp
September 16, 2016
IPAM
MOR meets ML: A general framework and what we can learn from it
Presenter
- Benjamin Unger
January 10, 2025
ICERM
Metric learning for persistence-based summaries and application to graph classification
Presenter
- Yusu Wang
April 29, 2019
IPAM
Recent Advances in Probabilistic Scientific Machine Learning for Chaotic Dynamical Systems
Presenter
- Leonardo Zepeda-Nu\u0301n\u0303ez
June 13, 2025
IMSI
Train Small, Model Big: Data-Driven Scaleup for Large-Scale Physical Simulations
Presenter
- Youngsoo Choi
January 9, 2025
ICERM
George Barbastathis - On the use of machine learning for computational imaging - IPAM at UCLA
Presenter
- George Barbastathis
October 11, 2022
IPAM
Bartolomeo Stellato - Learning for Decision-Making Under Uncertainty - IPAM at UCLA
Presenter
- Bartolomeo Stellato
March 1, 2023
IPAM
(Self-)Supervised Learning for Perception Tasks in Automated Driving
Presenter
- Wolfram Burgard
October 7, 2020
IPAM
Manifold Learning in Analysis of High Dimensional Remote Sensing Data
Presenter
- Melba Crawford
September 25, 2013
IMA