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Mark Tuckerman - From A to B via a synthesis of rare-event sampling and machine learning
Presenter
- Mark Tuckerman
January 24, 2023
IPAM
Particle-Based Stochastic Reaction-Diffusion Models: Mean field limits and fluctuation corrections.
Presenter
- Konstantinos Spiliopoulos
May 10, 2024
ICERM
Attenuation of the curse of dimensionality in continuous-time nonlinear optimal feedback stabilization problems
Presenter
- Ivan Yegorov
April 2, 2020
IPAM
Shenglin Huang - Data-Driven Model Discovery for Non-equilibrium Processes - IPAM at UCLA
Presenter
- Shenglin Huang
April 18, 2023
IPAM
Building Digital Twins of the Earth for NVIDIA’s Earth-2 Initiative
Presenter
- Karthik Kashinath
November 2, 2022
IMSI
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis
Presenter
- Rose Yu
May 19, 2021
IPAM
Paul Grigas - Offline and Online Learning for Contextual Stochastic Optimization - IPAM at UCLA
Presenter
- Paul Grigas
March 3, 2023
IPAM
Towards Digital Twins for NVIDIA’s Earth-2 Initiative: Pushing the Limits of Deep Learning for Earth System Emulation
Presenter
- Karthik Kashinath
April 1, 2023
IMSI
Safe and Efficient Exploration in Reinforcement Learning
Presenter
- Andreas Krause
February 26, 2020
IPAM