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A high-bias, low-variance review of data-driven collective variable discovery and enhanced sampling
Presenter
- Andrew Ferguson
April 22, 2024
IMSI
Machine learning-enabled enhanced sampling in biomolecular simulation and data-driven design of self-assembling photonic crystals and optoelectonic π-conjugated oligopeptides
Presenter
- Andrew Ferguson
September 9, 2019
IPAM
Andrew Christlieb - An introduction to Scientific Machine Learning - IPAM at UCLA
Presenter
- Andrew Christlieb
March 13, 2026
IPAM
Andrew Blumberg - Manifold Learning and Optimal Transport in Genomics, Pt. 1/2 - IPAM at UCLA
Presenter
- Andrew Blumberg
February 26, 2026
IPAM
Andrew Blumberg - Manifold Learning and Optimal Transport in Genomics, Pt. 2/2 - IPAM at UCLA
Presenter
- Andrew Blumberg
February 26, 2026
IPAM
Andrew Baczewski - An approach for calculating astrophysical opacities on quantum computers
Presenter
- Andrew Baczewski
February 20, 2026
IPAM
A Kernel-Based Approach for Modelling Gaussian Processes with Functional Information
Presenter
- Andrew Brown
May 22, 2025
IMSI
Andrew Jordan - Continuous quantum measurements: The most likely path with pre- and post-selection
Presenter
- Andrew Jordan
April 29, 2025
IPAM
Adaptive Sampling Methods for Inference involving Computationally Intensive Models
Presenter
- Andrew Duncan
April 3, 2025
IMSI