Operational calculus on programming spaces and generalized tensor networks · Ziga Sajovic, M. Vuk · Published in arXiv.org 25 October 2016 · Computer Science, ...
Dec 30, 2016 · What you really want to look at is the differential lambda calculus, introduced by Ehrhard and Regnier. It allows you to take the linear ...
In this paper we develop operational calculus on programming spaces that generalizes existing approaches to automatic differentiation of computer programs ...
Oct 25, 2016 · Abstract:In this work we present a theoretical model for differentiable programming. We construct an algebraic language that encapsulates ...
Operational calculus on programming spaces and generalized tensor networks. ... Implementation of Operational calculus on programming spaces with Applications.
Operational calculus on programming spaces and generalized tensor networks. ArXiv, 2016. In this paper we develop operational calculus on programming spaces ...
Learn about operational calculus on programming spaces and explore the power of generalized tensor networks. Discover the applications of algebra, ...
Jan 6, 2019 · We propose an abstract computational model that is capable of constructing differentiable programming spaces and provides a framework for ...
Oct 25, 2016 · An algebraic language is developed that represents a formal calculus for deep learning and is, at the same time, a model which enables ...
This paper describes a graphical calculus for open quantum systems using tensor networks, which are computational tools for simulating quantum systems.