
Persistent Homotopy Groups of Metric Spaces
We study notions of persistent homotopy groups of compact metric spaces ...
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Method of ContractionExpansion (MOCE) for Simultaneous Inference in Linear Models
Simultaneous inference after model selection is of critical importance t...
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Understanding overparameterized deep networks by geometrization
A complete understanding of the widely used overparameterized deep netw...
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Geometrization of deep networks for the interpretability of deep learning systems
How to understand deep learning systems remains an open problem. In this...
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Reducing Parameter Space for Neural Network Training
For neural networks (NNs) with rectified linear unit (ReLU) or binary ac...
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Demystifying AlphaGo Zero as AlphaGo GAN
The astonishing success of AlphaGo ZeroSilver_AlphaGo invokes a worldwid...
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How deep learning works The geometry of deep learning
Why and how that deep learning works well on different tasks remains a m...
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Ling Zhou
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