Videos

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Towards a Geometric Theory of Deep Learning Thumbnail

Towards a Geometric Theory of Deep Learning

Presenter
  • Govind Menon
October 7, 2025
IAS

Grey Neutrino Transport in Core-Collapse Supernovae

Presenter
  • Evan O'Connor
July 11, 2024
ICERM

Classical Neutrino Kinetics in Core Collapse Supernovae, The Ultimate Goal: Rationale, Requirements, Constraints, Implementations, and Outlook

Presenter
  • Anthony Mezzacappa
July 11, 2024
ICERM

Neutrinos in magnetically driven core-collapse supernovae

Presenter
  • Martin Obergaulinger
July 10, 2024
ICERM
Sambit Das - Computation of core energetics of pyramidal dislocation in Mg & Mg-Y alloy using DFT-FE Thumbnail

Sambit Das - Computation of core energetics of pyramidal dislocation in Mg & Mg-Y alloy using DFT-FE

Presenter
  • Sambit Das
April 21, 2023
IPAM
Deep learning algorithm for core-collapse supernova detection Thumbnail

Deep learning algorithm for core-collapse supernova detection

Presenter
  • Irene Di Palma
December 1, 2021
IPAM
Inference with core-collapse supernova waveforms Thumbnail

Inference with core-collapse supernova waveforms

Presenter
  • Jose Font
November 18, 2021
IPAM
Multi-dimensional modeling of core-collapse supernovae: neutrino and gravitational-wave signatures Thumbnail

Multi-dimensional modeling of core-collapse supernovae: neutrino and gravitational-wave signatures

Presenter
  • Kei Kotake
October 4, 2021
IPAM
Latent State Discovery in Reinforcement Learning Thumbnail

Latent State Discovery in Reinforcement Learning

Presenter
  • John Langford
August 13, 2020
IAS
Understanding gravitational waves from core-collapse supernovae Thumbnail

Understanding gravitational waves from core-collapse supernovae

Presenter
  • Pablo Cerdá-Durán
January 31, 2019
IPAM

The Gaussian core model in high dimensions

Presenter
  • Matthew de Courcy-Ireland
April 13, 2018
ICERM

Feedback, sensitivity, and excitability.

Presenter
  • Rodolphe Sepulchre
September 11, 2017
MBI