Videos

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Distributed Network Design in the Era of Deep Learning (Part 1) Thumbnail

Distributed Network Design in the Era of Deep Learning (Part 1)

Presenter
  • Mérouane Debbah
October 5, 2021
IMSI
Distributed Network Design in the Era of Deep Learning (Part 2) Thumbnail

Distributed Network Design in the Era of Deep Learning (Part 2)

Presenter
  • Mérouane Debbah
October 5, 2021
IMSI
Implicit and Explicit Regularization in Deep Neural Networks Thumbnail

Implicit and Explicit Regularization in Deep Neural Networks

Presenter
  • Babak Hassibi
May 18, 2021
IPAM
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
Computational Complexity of Learning ReLUs Thumbnail

Computational Complexity of Learning ReLUs

Presenter
  • Surbhi Goel
April 15, 2021
IMSI

Reliable predictions? Counterfactual predictions? Equitable treatment? Some recent progress in predictive inference

Presenter
  • Emmanuel Candes
April 11, 2021
ICERM

Reliability, Robustness and Minipatch Learning

Presenter
  • Genevera Allen
April 11, 2021
ICERM

Differential privacy, deep learning, and synthetic data generation

Presenter
  • Rachel Cummings
April 11, 2021
ICERM

An Information Theoretic Approach to Validate Deep Learning-Based Algorithms

Presenter
  • Gitta Kutyniok
April 10, 2021
ICERM
Task-driven Network Discovery via Deep Reinforcement Learning on Embedded Spaces Thumbnail

Task-driven Network Discovery via Deep Reinforcement Learning on Embedded Spaces

Presenter
  • Tina Eliassi-Rad
February 25, 2021
IPAM

Parameter inference for binary black holes using deep learning

Presenter
  • Stephen Green
November 16, 2020
ICERM

Operator-split reduced order models for problems with moving interfaces

Presenter
  • George Biros
April 24, 2020
ICERM