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Solving and Learning Partial Differential Equations with Q-Exponential Processes
Presenter
- Shiwei Lan
March 6, 2026
ICERM
Data-efficient kernel methods for learning differential equations and their solution operators
Presenter
- Bamdad Hosseini
October 8, 2025
IMSI
The mean-squared-error is not enough: Improved prediction of chaotic dynamical systems with scientific machine learning
Presenter
- Romit Maulik
June 13, 2025
IMSI
Expressing The Density Matrix as Functional Of The Density: How To Profit From Machine Learning?
Presenter
- Lucia Reining
March 28, 2024
IMSI
Samuel Blau - High-Throughput DFT and Monte Carlo for Reaction Networks and Machine Learning
Presenter
- Samuel Blau
May 1, 2023
IPAM
Aidan Thompson - LAMMPS simulation: physics models, machine-learning potentials, exascale computing
Presenter
- Aidan Thompson
March 27, 2023
IPAM
Kyunghyun Cho - Lab-in-the-loop de novo antibody design - what are we missing from machine learning?
Presenter
- Kyunghyun Cho
January 25, 2023
IPAM
Mark Tuckerman - From A to B via a synthesis of rare-event sampling and machine learning
Presenter
- Mark Tuckerman
January 24, 2023
IPAM
Robust and Scalable Learning of Gaussian Mixture Models
Presenter
- Kisung You
December 17, 2021
ICERM
