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Towards a Digital Twin Framework with Uncertainty Quantification: Machine Learning, Bayesian Optimization and Model Predictive Control
Presenter
- Wei Chen
April 23, 2025
IMSI
What it will take to do first principles optimal design of fusion
Presenter
- Andrew Christlieb
February 21, 2024
IMSI
Mathew Cherukara - HPC+AI-Enabled Real-Time Coherent X-ray Diffraction Imaging - IPAM at UCLA
Presenter
- Mathew Cherukara
October 14, 2022
IPAM
Task-driven Network Discovery via Deep Reinforcement Learning on Embedded Spaces
Presenter
- Tina Eliassi-Rad
February 25, 2021
IPAM
From Air Traffic Management to Finding a Parking Space: Dynamically Assigning Destination Resources while Enroute
Presenter
- Michael Ball
July 24, 2017
IMA
Enhancing predictability of biological models with structural sensitivity: how should we proceed?
Presenter
- Andrew Morozov
November 16, 2016
MBI
Information-directed Exploration in Bandits and Reinforcement Learning
Presenter
- Andreas Krause
April 16, 2021
IMSI
Using Trained Machine Learning Predictors in Gurobi
Presenter
- Tobias Achterberg
April 27, 2023
ICERM
Distributed learning in routing games: convergence, estimation of player dynamics, and control.
Presenter
- Walid Krichene
November 18, 2015
IPAM
Markov decision processes and mean-field games with costly and delayed information
Presenter
- Christoph Reisinger
February 8, 2024
IMSI
Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers
Presenter
- Maxime Gasse
February 24, 2021
IPAM
From stochastic search to bandit problems to dynamic programs: Fresh perspectives of some old problems
Presenter
- Warren Powell
July 24, 2017
IMA