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  1. Courses
  2. 2019 SIAM Conference on Com...
  3. Mathematical Advances in De...

Mathematical Advances in Deep Learning - Part II of II

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CSE19 - MS35-1: A Mean-field Optimal Control Formulation of Deep Learning

Presentation: Jiequn Han, Princeton University, U.S., 21 min 8 sec
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CSE19 - MS35-1: A Mean-field Optimal Control Formulation of Deep Learning

Document: CSE19 - MS35-1: A Mean-field Optimal Control Formulation of Deep Learning
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CSE19 - MS35-2: Semi-Implicit Convolutional Neural Networks

Presentation: Keegan Lensink, University of British Columbia, Canada, 19 min 39 sec
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CSE19 - MS35-2: Semi-Implicit Convolutional Neural Networks

Document: CSE19 - MS35-2: Semi-Implicit Convolutional Neural Networks
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CSE19 - MS35-3: Trimming Linear and non-Linear Models

Presentation: Aleksandr Aravkin, 20 min 31 sec
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CSE19 - MS35-3: Trimming Linear and non-Linear Models

Document: CSE19 - MS35-3: Trimming Linear and non-Linear Models
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CSE19 - MS35-4: Deep Inversion - Latent Space Analysis of Autoencoders for Inverse Problems

Presentation: Christoph Brune, University of Twente, Netherlands, 21 min 18 sec
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CSE19 - MS35-4: Deep Inversion - Latent Space Analysis of Autoencoders for Inverse Problems

Document: CSE19 - MS35-4: Deep Inversion - Latent Space Analysis of Autoencoders for Inverse Problems
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