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Towards Rigorous Understanding of Neural Networks via
  Semantics-preserving Transformations

Towards Rigorous Understanding of Neural Networks via Semantics-preserving Transformations

19 January 2023
Maximilian Schlüter
Gerrit Nolte
Alnis Murtovi
Bernhard Steffen
ArXivPDFHTML

Papers citing "Towards Rigorous Understanding of Neural Networks via Semantics-preserving Transformations"

4 / 4 papers shown
Title
The Topos of Transformer Networks
Mattia Jacopo Villani
Peter McBurney
26
0
0
27 Mar 2024
Unwrapping All ReLU Networks
Unwrapping All ReLU Networks
M. Villani
Peter McBurney
FAtt
55
3
0
16 May 2023
The Power of Typed Affine Decision Structures: A Case Study
The Power of Typed Affine Decision Structures: A Case Study
Gerrit Nolte
Maximilian Schlüter
Alnis Murtovi
Bernhard Steffen
AAML
12
3
0
28 Apr 2023
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
226
1,835
0
03 Feb 2017
1