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2112.12982
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Parameter identifiability of a deep feedforward ReLU neural network
24 December 2021
Joachim Bona-Pellissier
François Bachoc
François Malgouyres
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Papers citing
"Parameter identifiability of a deep feedforward ReLU neural network"
13 / 13 papers shown
Title
Finite Samples for Shallow Neural Networks
Yu Xia
Zhiqiang Xu
39
0
0
17 Mar 2025
Sequencing the Neurome: Towards Scalable Exact Parameter Reconstruction of Black-Box Neural Networks
Judah Goldfeder
Quinten Roets
Gabe Guo
John Wright
Hod Lipson
28
1
0
27 Sep 2024
Dagma-DCE: Interpretable, Non-Parametric Differentiable Causal Discovery
Daniel Waxman
Kurt Butler
P. Djuric
23
3
0
05 Jan 2024
Copula-Based Deep Survival Models for Dependent Censoring
Ali Hossein Gharari Foomani
Michael Cooper
Russell Greiner
Rahul G. Krishnan
10
10
0
20 Jun 2023
Exploring the Complexity of Deep Neural Networks through Functional Equivalence
Guohao Shen
22
2
0
19 May 2023
Functional Equivalence and Path Connectivity of Reducible Hyperbolic Tangent Networks
Matthew Farrugia-Roberts
8
4
0
08 May 2023
Expand-and-Cluster: Parameter Recovery of Neural Networks
Flavio Martinelli
Berfin Simsek
W. Gerstner
Johanni Brea
17
4
0
25 Apr 2023
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry
J. G. Wiese
Lisa Wimmer
Theodore Papamarkou
Bernd Bischl
Stephan Günnemann
David Rügamer
14
11
0
06 Apr 2023
Local Identifiability of Deep ReLU Neural Networks: the Theory
Joachim Bona-Pellissier
Franccois Malgouyres
F. Bachoc
FAtt
45
6
0
15 Jun 2022
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network
Mo Zhou
Rong Ge
Chi Jin
69
44
0
04 Feb 2021
Cryptanalytic Extraction of Neural Network Models
Nicholas Carlini
Matthew Jagielski
Ilya Mironov
FedML
MLAU
MIACV
AAML
65
134
0
10 Mar 2020
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,830
0
08 Jul 2016
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,150
0
16 Jan 2013
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