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42:53 Shape Constraints Imposed by Linear Layers in… Shape Constraints Imposed by Linear Layers in Neural Networks - Rebecca Willett	Shape Constraints Imposed by Linear Layers in Neural Networks - Rebecca Willett Structural Breaks and Shape Constraints Shape Constraints Imposed by Linear Layers in Neural Networks Rebecca Willett (University of Chicago) 16 May 2022 icms function network layer representation networks layers weights functions samples linear training subspace cost units relu things alignment matrix space norm From Iain Cms 0 likes 35 plays 0 Licence Type All rights reserved Language English Date Created May 17th, 2022
03:36 Michael Allouche EVA Talk Preview Michael Allouche EVA Talk Preview	Michael Allouche EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Michael Allouche Talk Title: On the approximation of extreme quantiles with ReLU neural networks Abstract:… eva icms allouche theory solution neural networks networks quantiles relu linear units linear functions gan function log minus network alpha illustration approximation tail rate sigma error regularity phi theorem training model generative talk From Anna Munro 0 likes 34 plays 0 Licence Type All rights reserved Language English

42:53

Shape Constraints Imposed by Linear Layers in…

Shape Constraints Imposed by Linear Layers in Neural Networks - Rebecca Willett

Structural Breaks and Shape Constraints Shape Constraints Imposed by Linear Layers in Neural Networks Rebecca Willett (University of Chicago) 16 May 2022

From Iain Cms 0 likes 35 plays 0

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English

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May 17th, 2022

03:36

Michael Allouche EVA Talk Preview

This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Michael Allouche Talk Title: On the approximation of extreme quantiles with ReLU neural networks Abstract:…

From Anna Munro 0 likes 34 plays 0

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English

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