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Yihui Quek - Signal and noise: learning with random quantum circuits and other agents of chaos
Presenter
- Yihui Quek
October 16, 2023
IPAM
Triangular transport for learning probabilistic graphical models
Presenter
- Rebecca Morrison
May 11, 2023
ICERM
Function-space regularized divergences for machine learning applications
Presenter
- Ioannis (Yannis) Pantazis
May 11, 2023
ICERM
Osbert Bastani - Interpretable Machine Learning via Program Synthesis - IPAM at UCLA
Presenter
- Osbert Bastani
January 10, 2023
IPAM
Reinhard Heckel - The role of data and models for deep-learning based image reconstruction
Presenter
- Reinhard Heckel
December 1, 2022
IPAM
Robert Wolkow - Atom-Defined Devices, Ultra-Fast Classical Devices, and Diverse Quantum Devices
Presenter
- Robert Wolkow
November 29, 2022
IPAM
Ian Robinson - Progress towards Machine Learning Phasing for Bragg Coherent Diffractive Imaging
Presenter
- Ian Robinson
October 13, 2022
IPAM
Matthew Foulkes - Approximating Many-Electron Wave Functions using Neural Networks
Presenter
- Matthew Foulkes
May 26, 2022
IPAM
Kieron Burke - Conditional probability density functional theory
Presenter
- Kieron Burke
May 26, 2022
IPAM
Claudia Filippi - Targeting excited states with quantum Monte Carlo
Presenter
- Claudia Filippi
May 24, 2022
IPAM