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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
Using machine learning to map the structure and predict the properties of materials and molecules
Presenter
- Michele Ceriotti
September 27, 2016
IPAM
Marika Maria Kieferova - Generating Approx. Ground State of Molecules Using Quantum Machine Learning
Presenter
- Marika Kieferova
October 18, 2023
IPAM
John Hooker - Equity through Social Welfare Optimization - IPAM at UCLA
Presenter
- John Hooker
January 22, 2024
IPAM
Juan Carrasquilla - Training Binary Neural Networks in Quantum Superposition - IPAM at UCLA
Presenter
- Juan Carrasquilla
October 16, 2023
IPAM