Local Identifiability of Deep ReLU Neural Networks: the Theory

15 June 2022

Papers citing "Local Identifiability of Deep ReLU Neural Networks: the Theory"

7 / 7 papers shown

Title
On Functional Dimension and Persistent Pseudodimension J. E. Grigsby Kathryn A. Lindsey 28 0 0 22 Oct 2024
A path-norm toolkit for modern networks: consequences, promises and challenges Antoine Gonon Nicolas Brisebarre E. Riccietti Rémi Gribonval 24 6 0 02 Oct 2023
Function Classes for Identifiable Nonlinear Independent Component Analysis Simon Buchholz M. Besserve Bernhard Schölkopf 33 36 0 12 Aug 2022
Parameter identifiability of a deep feedforward ReLU neural network Joachim Bona-Pellissier François Bachoc François Malgouyres 33 14 0 24 Dec 2021
Cryptanalytic Extraction of Neural Network Models Nicholas Carlini Matthew Jagielski Ilya Mironov FedML MLAU MIACV AAML 70 134 0 10 Mar 2020
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 263 5,833 0 08 Jul 2016
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 31,253 0 16 Jan 2013