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Semi-Supervised Learning with the p-Laplacian in Geometric Methods in Machine Learning and Data Analysis
Presenter
- Nadejda Drenska
March 12, 2024
ICERM
Homotopy Continuation Techniques for Optimization in Variational Inference
Presenter
- Emma Cobian
December 15, 2023
IMSI
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
Jin Peng Liu - Provably Efficient Quantum Algorithms for Nonlinear Dynamics and Machine Learning
Presenter
- Jin-Peng Liu
October 6, 2023
IPAM
Heather Kulik - Exploring multi-million compound spaces w/ chemical accuracy using machine learning
Presenter
- Heather Kulik
March 27, 2023
IPAM
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
Gaussian Process Regression Constrained by Boundary Value Problems
Presenter
- Mamikon Guilan
September 1, 2022
IMSI
Effect of Dependence on the Convergence of Empirical Wasserstein Distance
Presenter
- Nabarun Deb
May 18, 2022
IMSI
