Videos

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A Neural Network Approach to Learning Steady States and Their Stability of Parametric Dynamical Systems Thumbnail

A Neural Network Approach to Learning Steady States and Their Stability of Parametric Dynamical Systems

Presenter
  • Xiaochuan Tian
May 15, 2024
IMSI
Matrix Function Networks for learning non local quantum effects. Thumbnail

Matrix Function Networks for learning non local quantum effects.

Presenter
  • Ilyes Batatia
April 8, 2024
IMSI
Mathematical aspects of equivariant neural networks Thumbnail

Mathematical aspects of equivariant neural networks

Presenter
  • Risi Kondor
December 11, 2023
IMSI
Online learning for spiking neural networks with relative information rate Thumbnail

Online learning for spiking neural networks with relative information rate

Presenter
  • Shaowei Lin
December 11, 2023
IMSI

Learning Neural Operators for Complex Physical System Modeling

Presenter
  • Yue Yu
June 9, 2023
ICERM

Exact Gradient Computation for Spiking Neural Networks via Forward Propagation

Presenter
  • Amin Karbasi
June 8, 2023
ICERM

Deep neural operators with reliable extrapolation for multiphysics, multiscale & multifidelity problems

Presenter
  • Lu Lu
June 7, 2023
ICERM

Machine Learning for discrete optimization: Graph Neural Networks, generalization under shifts, and loss functions

Presenter
  • Stefanie Jegelka
April 26, 2023
ICERM
Discovering implicit computation graphs in nonlinear brain dynamics Thumbnail

Discovering implicit computation graphs in nonlinear brain dynamics

Presenter
  • Xaq Pitkow
May 5, 2021
SLMath
Simplicial Neural Networks Thumbnail

Simplicial Neural Networks

Presenter
  • Stefania Ebli
April 29, 2021
IMSI
Learning in Graph Neural Networks Thumbnail

Learning in Graph Neural Networks

Presenter
  • Stefanie Jegelka
April 15, 2021
IMSI
Training neural ODEs for density estimation Thumbnail

Training neural ODEs for density estimation

Presenter
  • Christopher Finlay
April 23, 2020
IPAM