Apr 5, 2020 · We consider the compilation of a binary neural network's decision function into tractable representations such as Ordered Binary Decision Diagrams (OBDDs) and ...
A more efficient approach for compiling neural networks is considered, based on a pseudo-polynomial time algorithm for compiling a neuron, and it is shown ...
Our goal is to compile the Bool- ean function specified by a neural network into a tractable. Boolean circuit that facilitates explanation and verification. We ...
We consider the compilation of a binary neural network's decision function into tractable representations such as Ordered Binary Decision Diagrams (OBDDs) ...
... {On Tractable Representations of Binary Neural Networks}, booktitle = {Proceedings of the 17th International Conference on Principles of Knowledge Representation ...
We consider the compilation of a binary neural network's decision function into tractable representations such as Ordered Binary Decision Diagrams (OBDDs) ...
We consider the compilation of a binary neural network's decision function into tractable representations such as Ordered Binary Decision Diagrams (OBDDs) and ...
Jun 22, 2021 · In this paper, we present APUF-BN, a novel computer-aided design (CAD) framework to efficiently generate a combinational circuit representation of an Arbiter ...
People also ask
Which neural network is best for binary classification?
How do artificial neural networks work?
What is a recurrent neural network in pattern recognition?
Which function introduces non-linearity in a neural network?
On tractable representations of binary neural networks. In Proceedings of the 17th International Conference on Principles of Knowledge Representation and ...
On. Tractable Representations of Binary Neural Networks. In. 17th KR. Srinivasan, R.; and Chander, A. 2020. Explanation Per- spectives from the Cognitive ...