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How Robust are Deep Neural Networks?

How Robust are Deep Neural Networks?

30 April 2018
B. Sengupta
Karl J. Friston
    OOD
ArXivPDFHTML

Papers citing "How Robust are Deep Neural Networks?"

5 / 5 papers shown
Title
Designing Ecosystems of Intelligence from First Principles
Designing Ecosystems of Intelligence from First Principles
Karl J. Friston
M. Ramstead
Alex B. Kiefer
Alexander Tschantz
Christopher L. Buckley
...
K. Fung
Jason G. Fox
Steven Swanson
D. Mapes
Gabriel René
26
32
0
02 Dec 2022
Natural Language Syntax Complies with the Free-Energy Principle
Natural Language Syntax Complies with the Free-Energy Principle
Elliot Murphy
E. Holmes
K. Friston
13
11
0
27 Oct 2022
The Free Energy Principle drives neuromorphic development
The Free Energy Principle drives neuromorphic development
C. Fields
Karl J. Friston
J. Glazebrook
Michael Levin
A. Marcianò
35
14
0
20 Jul 2022
Sophisticated Inference
Sophisticated Inference
Karl J. Friston
Lancelot Da Costa
Danijar Hafner
C. Hesp
Thomas Parr
13
99
0
07 Jun 2020
Implicit Self-Regularization in Deep Neural Networks: Evidence from
  Random Matrix Theory and Implications for Learning
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning
Charles H. Martin
Michael W. Mahoney
AI4CE
47
192
0
02 Oct 2018
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