Videos

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Smita Krishnaswamy - Cellular Trajectories & Regulatory Networks w/ Neural & Graph ODE Models, 2/2 Thumbnail

Smita Krishnaswamy - Cellular Trajectories & Regulatory Networks w/ Neural & Graph ODE Models, 2/2

Presenter
  • Smita Krishnaswamy
February 24, 2026
IPAM
Constraining the outputs of ReLu neural networks Thumbnail

Constraining the outputs of ReLu neural networks

Presenter
  • Yulia Alexandr
July 21, 2025
IMSI
Lars Ruthotto - Mixed-Precision Algorithms for Training Neural ODEs - IPAM at UCLA Thumbnail

Lars Ruthotto - Mixed-Precision Algorithms for Training Neural ODEs - IPAM at UCLA

Presenter
  • Lars Ruthotto
July 14, 2025
IPAM
Overparameterized Systems: From Smale 17th Problem to Neural Networks Thumbnail

Overparameterized Systems: From Smale 17th Problem to Neural Networks

Presenter
  • Andrea Montanari
May 5, 2025
IMSI
Combining reinforcement learning with graph convolutional neural networks for efficient design of TiAl/TiAlN atomic-scale interfaces Thumbnail

Combining reinforcement learning with graph convolutional neural networks for efficient design of TiAl/TiAlN atomic-scale interfaces

Presenter
  • Houlong Zhang
April 22, 2025
IMSI
Continuous Signal Processing using Implicit Neural Representation Thumbnail

Continuous Signal Processing using Implicit Neural Representation

Presenter
  • Kyong Hwan
August 7, 2024
IMSI
Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations Thumbnail

Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations

Presenter
  • Benjamin Peherstorfer
June 27, 2024
IMSI
Learning dislocation dynamics with graph neural networks Thumbnail

Learning dislocation dynamics with graph neural networks

Presenter
  • Nicolas Bertin
May 15, 2024
IMSI
Automatic Symmetry Discovery from Data Thumbnail

Automatic Symmetry Discovery from Data

Presenter
  • Rose Yu
April 24, 2024
IMSI
Harnessing The Properties of Equivariant Neural Networks To Understand And Design Atomic Systems Thumbnail

Harnessing The Properties of Equivariant Neural Networks To Understand And Design Atomic Systems

Presenter
  • Tess Smidt
March 29, 2024
IMSI

Quasi Real-Time Simulations with Neural Networks for Industrial Applications

Presenter
  • Yu-Chin Chan
March 23, 2024
ICERM
Characterizing the spectrum of the neural tangent kernel via a power series expansion Thumbnail

Characterizing the spectrum of the neural tangent kernel via a power series expansion

Presenter
  • Guido Montufar
December 13, 2023
IMSI