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DeepMath2019
DeepMath2019
16 videos
1,038 views
Last updated on Jan 10, 2020
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Ahmed El Hady - Introductory remarks
by
DeepMath2019
10:33
Eran Malach - Deep Learning on the border between success and failure
by
DeepMath2019
40:07
Haim Sompolinsky - DeepManifolds: Geometry of Computation in Deep Networks
by
DeepMath2019
1:08:48
Dan Roberts - Robust Learning with Jacobian Regularization
by
DeepMath2019
20:06
Sanjeev Arora - Is Optimization the Right Language to Understand Deep Learning?
by
DeepMath2019
1:03:01
Tomaso Poggio - Dynamics and Generalization in Deep Neural Networks
by
DeepMath2019
51:56
Jeffery Pennington - Deep Learning and Operator-Valued Free Probability: Dynamics in High Dimensions
by
DeepMath2019
1:00:49
Surya Ganguli - Deep Learning Theory: From Generalization to the Brain
by
DeepMath2019
1:00:22
Naftali Tishby - The Information Bottleneck View of Deep Learning: Why do we need it?
by
DeepMath2019
1:00:09
Boris Hanin - NTK in ReLU Nets with Finite Depth and Width
by
DeepMath2019
19:41
Lukas Balles - The Geometry of Sign Gradient Descent
by
DeepMath2019
17:13
Tan Minh Nguyen - Neural Rendering Model: The Joint Generation and Prediction Perspective
by
DeepMath2019
22:02
Michael Elad - Sparse Modelling of Data and its Relation to Deep Learning
by
DeepMath2019
59:32
David Schwab - How Noise Affects the Hessian Spectrum in Overparameterized Neural Networks
by
DeepMath2019
36:28
Yasaman Bahri - Towards an Understanding of Wide Neural Networks
by
DeepMath2019
1:11:37
Mikio Aoi - Concluding remarks
by
DeepMath2019
1:42
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