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01/31/2023
Support Exploration Algorithm for Sparse Support Recovery
We introduce a new algorithm promoting sparsity called Support Explorati...
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06/15/2022
Local Identifiability of Deep ReLU Neural Networks: the Theory
Is a sample rich enough to determine, at least locally, the parameters o...
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06/09/2022
A general approximation lower bound in L^p norm, with applications to feed-forward neural networks
We study the fundamental limits to the expressive power of neural networ...
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12/24/2021
Parameter identifiability of a deep feedforward ReLU neural network
The possibility for one to recover the parameters-weights and biases-of ...
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08/12/2021
Existence, Stability And Scalability Of Orthogonal Convolutional Neural Networks
Imposing orthogonal transformations between layers of a neural network h...
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07/28/2021
Global minimizers, strict and non-strict saddle points, and implicit regularization for deep linear neural networks
In non-convex settings, it is established that the behavior of gradient-...
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01/26/2021
