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Signed Cumulative Distribution Transform for Machine Learning
Presenter
- Sumati Thareja
May 8, 2023
ICERM
Yimo Han - Assisting 4D-STEM data processing by machine learning and Bayesian optimization
Presenter
- Yimo Han
October 28, 2022
IPAM
Ryan Sweke - Should we use parameterized quantum circuits for machine learning? - IPAM at UCLA
Presenter
- Ryan Sweke
October 17, 2023
IPAM
Soledad Villar - Introduction to equivariant machine learning - IPAM at UCLA
Presenter
- Soledad Villar
October 27, 2022
IPAM
Trainability and accuracy of artificial neural networks
Presenter
- Eric Vanden-Eijnden
November 18, 2019
IPAM
Jens Eisert - Do quantum computers have application in machine learning & combinatorial optimization
Presenter
- Jens Eisert
October 17, 2023
IPAM
Public Lecture: AI Breakthroughs & Obstacles to Progress, Mathematical and Otherwise
Presenter
- Yann LeCun
February 6, 2018
IPAM
Modeling Molecular Kinetics with Koopman Operators and Kernel-based Learning
Presenter
- Feliks N\u00fcske
May 13, 2024
IMSI
Petar Veličković - Reasoning Algorithmically: from Toy Experiments to AGI Modules - IPAM at UCLA
Presenter
- Petar Veličković
March 2, 2023
IPAM
Feature purification: How adversarial training can perform robust deep learning
Presenter
- Yuanzhi Li
March 16, 2020
IAS
Ivan Pedro Lobato Hoyos - Application of machine learning to electron microscopy data - IPAM at UCLA
Presenter
- Ivan Hoyos
October 25, 2022
IPAM
Patrick Riley - Symbolic Regression for Discovery of a DFT Functional - IPAM at UCLA
Presenter
- Patrick Riley
January 23, 2023
IPAM