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From Dynamics to Algorithms for Optimization and Sampling
Presenter
- Andre Wibisono
June 24, 2024
ICERM
FedCBO: Reaching Group Consensus in Clustered Federated Learning and Robustness to Backdoor Adversarial Attacks.
Presenter
- Nicolas Garcia Trillos
May 10, 2024
ICERM
Sampling Complex Energy Landscapes in Material Science Using Data-Driven Force Fields
Presenter
- Cosmin Marinica
April 12, 2024
IMSI
Bridging Scales in Materials Modeling With Occam-Shaved Machine Learning
Presenter
- Luca Ghiringhelli
March 29, 2024
IMSI
Reducing the Quantum Many-Electron Problem to Two Electrons with Machine Learning
Presenter
- David Mazziotti
March 25, 2024
IMSI
A local, low-dimensional Machine Learning based PDE Solver for modeling engineering applications
Presenter
- Rishikesh Ranade
March 23, 2024
ICERM
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