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Scaling Symbolic Methods using Gradients for Neural Model Explanation
v1v2v3v4 (latest)

Scaling Symbolic Methods using Gradients for Neural Model Explanation

29 June 2020
Subham S. Sahoo
Subhashini Venugopalan
Li Li
Rishabh Singh
Patrick F. Riley
    FAtt
ArXiv (abs)PDFHTMLGithub (35634★)

Papers citing "Scaling Symbolic Methods using Gradients for Neural Model Explanation"

2 / 2 papers shown
Title
A Scalable, Interpretable, Verifiable & Differentiable Logic Gate
  Convolutional Neural Network Architecture From Truth Tables
A Scalable, Interpretable, Verifiable & Differentiable Logic Gate Convolutional Neural Network Architecture From Truth Tables
Adrien Benamira
Tristan Guérand
Thomas Peyrin
Trevor Yap
Bryan Hooi
67
2
0
18 Aug 2022
Backpropagation through Combinatorial Algorithms: Identity with
  Projection Works
Backpropagation through Combinatorial Algorithms: Identity with Projection Works
Subham S. Sahoo
Anselm Paulus
Marin Vlastelica
Vít Musil
Volodymyr Kuleshov
Georg Martius
98
20
0
30 May 2022
1