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Multiscale and Data-driven Methods for the Simulation of Materials Failure
Presenter
- James Kermode
April 11, 2024
IMSI
Machine learning at the mesoscale: advances in analyzing and coarse-graining via data-driven approaches
Presenter
- Rose Cersonsky
April 11, 2024
IMSI
Jin Peng Liu - Provably Efficient Quantum Algorithms for Nonlinear Dynamics and Machine Learning
Presenter
- Jin-Peng Liu
October 6, 2023
IPAM
Yimo Han - Assisting 4D-STEM data processing by machine learning and Bayesian optimization
Presenter
- Yimo Han
October 28, 2022
IPAM
DISTRIBUTIONALLY ROBUST LEARNING OVER DEEP NEURAL NETWORKS AND THEIR ASSOCIATED REGULARIZED RISK
Presenter
- Camilo Garcia Trillos
May 24, 2022
IMSI
Market making algorithms: the next success of Reinforcement Learning?
Presenter
- Olivier Gueant
May 24, 2022
IMSI
Convergence of Empirical Measures, Mean-Field Games and Deep Learning Algorithms
Presenter
- Ruimeng Hu
May 23, 2022
IMSI
A community effort to assess and promote of privacy preserving techniques for human genomes
Presenter
- Xiaoqian Jiang
February 9, 2022
IMSI
Machine Learning in the Multi-Messenger Era: Inference as a service and optimal light curve augmentation
Presenter
- Michael Coughlin
November 30, 2021
IPAM
Machine learning-based design (of proteins, small molecules and beyond)
Presenter
- Jennifer Listgarten
July 7, 2020
IAS
Subgroup Discovery for Assessing the Domain of Applicability of Machine Learning Models
Presenter
- Chris Sutton
November 21, 2019
IPAM