Videos

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Understanding, Interpreting and Design Neural Network Models Through Tensor Representations Thumbnail

Understanding, Interpreting and Design Neural Network Models Through Tensor Representations

Presenter
  • Furong Huang
May 18, 2021
IPAM
Beyond Lazy Training for Over-parameterized Tensor Decomposition Thumbnail

Beyond Lazy Training for Over-parameterized Tensor Decomposition

Presenter
  • Rong Ge
May 3, 2021
IPAM
Implicit Regularization in Deep Learning: Lessons Learned from Matrix and Tensor Factorization Thumbnail

Implicit Regularization in Deep Learning: Lessons Learned from Matrix and Tensor Factorization

Presenter
  • Nadav Cohen
March 31, 2021
IPAM
Imaging Translational Water Diffusion with Magnetic Resonance for Fiber Mapping in the Central Nervous System Thumbnail

Imaging Translational Water Diffusion with Magnetic Resonance for Fiber Mapping in the Central Nervous System

Presenter
  • Thomas Mareci
January 10, 2006
IMA

Matrix-Mimetic Tensor Algebra: Optimal Decompositions and Equivariant Learning

Presenter
  • Lior Horesh
February 4, 2026
ICERM
Efficient Tensor Representation for Deep Learning with TensorLy and PyTorch Thumbnail

Efficient Tensor Representation for Deep Learning with TensorLy and PyTorch

Presenter
  • Jean Kossaifi
May 19, 2021
IPAM
What is a tensor? (Part 2/2) Thumbnail

What is a tensor? (Part 2/2)

Presenter
  • Lek-Heng Lim
March 17, 2021
IPAM
What is a tensor? (Part 1/2) Thumbnail

What is a tensor? (Part 1/2)

Presenter
  • Lek-Heng Lim
March 11, 2021
IPAM
Bayesian Poisson Tensor Decomposition for International Relations Thumbnail

Bayesian Poisson Tensor Decomposition for International Relations

Presenter
  • Hanna Wallach
May 24, 2016
IPAM
Global Optimality in Matrix and Tensor Factorization, Deep Learning, and Beyond Thumbnail

Global Optimality in Matrix and Tensor Factorization, Deep Learning, and Beyond

Presenter
  • RenĂ© Vidal
January 27, 2016
IMA

Assessing the vulnerability to infections of time-evolving contact networks

Presenter
  • Chiara Poletto
March 23, 2016
MBI
Learning Deep Matrix Factorizations Via Gradient Descent: Implicit Bias Towards Low Rank Thumbnail

Learning Deep Matrix Factorizations Via Gradient Descent: Implicit Bias Towards Low Rank

Presenter
  • Holger Rauhut
May 21, 2021
IPAM