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Bridging Scales in Materials Modeling With Occam-Shaved Machine Learning
Presenter
- Luca Ghiringhelli
March 29, 2024
IMSI
Semi-Supervised Learning with the p-Laplacian in Geometric Methods in Machine Learning and Data Analysis
Presenter
- Nadejda Drenska
March 12, 2024
ICERM
Ryan Sweke - Should we use parameterized quantum circuits for machine learning? - IPAM at UCLA
Presenter
- Ryan Sweke
October 17, 2023
IPAM
Extending Generalization Theory to Address Phenomena in Contemporary Machine Learning
Presenter
- Shay Moran
October 17, 2023
IAS
Maxim Ziatdinov - Bits and Atoms: Exploring the Intersection of Machine Learning and Microscopy
Presenter
- Maxim Ziatdinov
January 27, 2023
IPAM
Sarah Haigh - Probing atomic behaviour in liquids with STEM : opportunities for machine learning
Presenter
- Sarah Haigh
November 30, 2022
IPAM
Yimo Han - Assisting 4D-STEM data processing by machine learning and Bayesian optimization
Presenter
- Yimo Han
October 28, 2022
IPAM
Effect of Dependence on the Convergence of Empirical Wasserstein Distance
Presenter
- Nabarun Deb
May 18, 2022
IMSI
Combinatorial Invariance: a Case Study of Pure Math / Machine Learning Interaction
Presenter
- Geordie Williamson
March 28, 2022
IAS
Establishing trust in decisions made from data: Physics-informed machine-learning models with computable generalization bounds
Presenter
- Benjamin Peherstorfer
March 2, 2022
IMSI