Statistics and Computer Science for Data Science at Paris-Saclay 2021

Statistics and Computer Science for Data Science at Paris-Saclay 2021

Institut des Hautes Etudes Scientifiques (IHES) via YouTube Direct link

Emilie Chouzenoux - Deep Unfolding of a Proximal Interior Point Method for Image Restoration

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3 of 6

Emilie Chouzenoux - Deep Unfolding of a Proximal Interior Point Method for Image Restoration

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Statistics and Computer Science for Data Science at Paris-Saclay 2021

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  1. 1 Gaël Varoquaux - Supervised Learning with Missing Values
  2. 2 Lenaïc Chizat - Analysis of Gradient Descent on Wide Two-Layer Neural Networks
  3. 3 Emilie Chouzenoux - Deep Unfolding of a Proximal Interior Point Method for Image Restoration
  4. 4 Agnès Desolneux - Maximum Entropy Distributions for Image Synthesis under Statistical Constraints
  5. 5 Guillaume Charpiat - Input Similarity from the Neural Network Perspective
  6. 6 Gaël Richard - Deep Neural Network for Audio and Music Transformations

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