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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
Zoe Holmes - Exponential Concentration in Quantum Generative Modeling and Quantum Kernel Methods
Presenter
- Zoe Holmes
October 17, 2023
IPAM
Yihui Quek - Signal and noise: learning with random quantum circuits and other agents of chaos
Presenter
- Yihui Quek
October 16, 2023
IPAM
Andrew Christlieb - An introduction to Scientific Machine Learning - IPAM at UCLA
Presenter
- Andrew Christlieb
March 13, 2026
IPAM