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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
Presenter
- Guido Montufar
December 13, 2023
IMSI
A model of the mammalian neural motor architecture elucidates the mechanisms underlying efficient and flexible control of network dynamics
Presenter
- Laureline Logiaco
September 21, 2023
ICERM
On the Connection between Deep Neural Networks and Kernel Methods
Presenter
- Ronen Basri
June 28, 2023
ICERM
Justin Smith - The state of neural network interatomic potentials - IPAM at UCLA
Presenter
- Justin Smith
May 22, 2023
IPAM
Integrating the spectral analysis of neural networks and nonlinear physics for explainability, generalizability, and stability
Presenter
- Pedram Hassanzadeh
November 4, 2022
IMSI
Multi-model Ensemble Analysis with Neural Network Gaussian Processes
Presenter
- Trevor Harris
September 23, 2022
IMSI
Andrey Shilnikov - Reconstructed rhythm-generation by neural circuits in two sea slugs
Presenter
- Andrey Shilnikov
August 31, 2022
IPAM
DISTRIBUTIONALLY ROBUST LEARNING OVER DEEP NEURAL NETWORKS AND THEIR ASSOCIATED REGULARIZED RISK
Presenter
- Camilo Garcia Trillos
May 24, 2022
IMSI
Framing RNN as a kernel method: A neural ODE approach
Presenter
- Adeline Fermanian
July 8, 2021
ICERM