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Robin Kothari - Mean estimation when you have the source code; or, quantum Monte Carlo methods
Presenter
- Robin Kothari
October 2, 2023
IPAM
Understanding the limits of entrainment of circadian oscillator models using one-dimensional maps
Presenter
- Amitabha Bose
June 15, 2023
ICERM
James Kermode - Multiscale and data-driven methods for the simulation of material failure
Presenter
- James Kermode
April 19, 2023
IPAM
Daniel Schwen - MOOSE: Parallel sampling for rare event probabilities & inverse Bayesian inference
Presenter
- Daniel Schwen
March 30, 2023
IPAM
Integrating the spectral analysis of neural networks and nonlinear physics for explainability, generalizability, and stability
Presenter
- Pedram Hassanzadeh
November 4, 2022
IMSI
Yongsoo Yang - Neural network-assisted atomic electron tomography - IPAM at UCLA
Presenter
- Yongsoo Yang
October 26, 2022
IPAM
High-dimensional extreme quantile regression using partially-interpretable neural networks
Presenter
- Raphael Huser
October 5, 2022
IMSI
Analyzing trends in precipitation patterns using Hidden Markov model stochastic weather generators
Presenter
- Chris Paciorek
October 3, 2022
IMSI
Lucas Wagner - Compact representations of excited states from QMC, as data for low-energy models
Presenter
- Lucas Wagner
May 26, 2022
IPAM
System Noise and Individual Exploration in Learning Large Population Games
Presenter
- Renyuan Xu
May 24, 2022
IMSI
