Nov 24, 2018 · (Short Paper). Conference paper; First Online: 24 November 2018. pp 279–290; Cite this conference paper. Download book PDF · Download book EPUB.
Oct 9, 2017 · View a PDF of the paper titled Verification of Binarized Neural Networks via Inter-Neuron Factoring, by Chih-Hong Cheng and 3 other authors.
Missing: (Short | Show results with:(Short
The main contributions of this paper include results on the NP-hardness and hardness of PTAS approximability of this essential optimization and factoring step, ...
Verification of Binarized Neural Networks via Inter-neuron Factoring - (Short Paper) · 44 Citations · 32 References.
Verification of Binarized Neural Networks via Inter-neuron Factoring - (Short Paper). Chih-Hong Cheng, Georg Nührenberg, Chung-Hao Huang and Harald Rueß.
Oct 9, 2017 · We prove that the problem of optimal factoring is NP-hard, and we design efficient search procedures for generating approximate solutions of the ...
In this paper, we study verification and interpretability problems for Binarized Neural Networks (BNNs), the 1-bit quantization of general real-numbered ...
Missing: (Short | Show results with:(Short
When the network is evaluated, the input neurons are assigned initial values (e.g., the pixels of an image), and these values are then propagated through the ...
Missing: (Short | Show results with:(Short
Apr 5, 2022 · Existing verification meth- ods for quantized neural networks are based on bit-exact. Boolean Satisfiability (SAT) and SMT encodings. For 1-bit.
Missing: (Short | Show results with:(Short
Verification of binarized neural networks via inter-neuron factoring. In Working Conference on Verified. Software: Theories, Tools, and Experiments, pages 279– ...
Missing: (Short | Show results with:(Short