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Lisa Nickerson - Addressing Confounds in Neuroimaging Machine Learning Predictions - IPAM at UCLA
Presenter
- Lisa Nickerson
January 13, 2023
IPAM
Michele Ceriotti - Physical insights from atomic-scale machine learning - IPAM at UCLA
Presenter
- Michele Ceriotti
January 11, 2023
IPAM
Cecelia Clementi - Designing molecular models with machine learning and experimental data
Presenter
- Cecelia Clementi
January 11, 2023
IPAM
Soledad Villar - Introduction to equivariant machine learning - IPAM at UCLA
Presenter
- Soledad Villar
October 27, 2022
IPAM
Ivan Pedro Lobato Hoyos - Application of machine learning to electron microscopy data - IPAM at UCLA
Presenter
- Ivan Hoyos
October 25, 2022
IPAM
Jan Hermann - Neural-network wave functions for quantum chemistry
Presenter
- Jan Hermann
May 25, 2022
IPAM
Shiwei Zhang - Auxiliary-field methods for quantum materials - IPAM at UCLA
Presenter
- Shiwei Zhang
May 23, 2022
IPAM
Hub and Spokes Model for Governmental Statistics: Data Linkage and Data Security
Presenter
- Keunkwan Ryu
February 10, 2022
IMSI
A Fast and Programmable Accelerator for Fully Homomorphic Encryption
Presenter
- Daniel Sanchez
February 7, 2022
IMSI
The Mysteries of Adversarial Robustness for Non-parametric Methods and Neural Networks
Presenter
- Kamalika Chaudhuri
April 16, 2021
IMSI
Bayesian nonparametrics and g-computation for causal inference in observational studies
Presenter
- Jason Roy
January 15, 2019
ICERM