Videos

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Boosting and Low-rank Thumbnail

Boosting and Low-rank

Presenter
  • Bin Yu
June 24, 2013
IMA

Michael Winer - Mechanistic Understanding of Multilayer Perceptrons

September 2, 2026
IPAM

Rebekah White - Surrogate-Based Optimization of Magnetized Liner Inertial Fusion (MagLIF) Target Design

May 20, 2026
IPAM

Boris Kramer - Structure-preserving Lift & Learn: Scientific machine learning for nonlinear conservative partial differential equations

April 17, 2026
IPAM

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 Thumbnail

Data-efficient kernel methods for learning differential equations and their solution operators

Presenter
  • Bamdad Hosseini
October 8, 2025
IMSI
Constraining the outputs of ReLu neural networks Thumbnail

Constraining the outputs of ReLu neural networks

Presenter
  • Yulia Alexandr
July 21, 2025
IMSI
The mean-squared-error is not enough: Improved prediction of chaotic dynamical systems with scientific machine learning Thumbnail

The mean-squared-error is not enough: Improved prediction of chaotic dynamical systems with scientific machine learning

Presenter
  • Romit Maulik
June 13, 2025
IMSI

Recent developments in nonlinear random matrices

Presenter
  • Yizhe Zhu
May 22, 2024
ICERM
Expressing The Density Matrix as Functional Of The Density: How To Profit From Machine Learning? Thumbnail

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 Thumbnail

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 Thumbnail

Aidan Thompson - LAMMPS simulation: physics models, machine-learning potentials, exascale computing

Presenter
  • Aidan Thompson
March 27, 2023
IPAM