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| author | ericmarin <maarin.eric@gmail.com> | 2026-06-23 15:26:01 +0200 |
|---|---|---|
| committer | ericmarin <maarin.eric@gmail.com> | 2026-06-26 16:47:32 +0200 |
| commit | a8bb7736e2e86963bd5761cc05079447abeeaba6 (patch) | |
| tree | 0071214f224846057380838e3d609790785ea930 /main.tex | |
| parent | 11f14a4763533dbc24b0e98d115071036025d4f6 (diff) | |
| download | vein-a8bb7736e2e86963bd5761cc05079447abeeaba6.tar.gz vein-a8bb7736e2e86963bd5761cc05079447abeeaba6.zip | |
using official template + fixing language errorsthesis
Diffstat (limited to 'main.tex')
| -rw-r--r-- | main.tex | 68 |
1 files changed, 0 insertions, 68 deletions
diff --git a/main.tex b/main.tex deleted file mode 100644 index 1fce155..0000000 --- a/main.tex +++ /dev/null @@ -1,68 +0,0 @@ -\documentclass[12pt,a4paper,twoside]{report} -\usepackage[utf8]{inputenc} -\usepackage[T1]{fontenc} -\usepackage[english]{babel} -\usepackage{graphicx} -\usepackage{amsmath, amssymb, amsthm} -\usepackage{cite} -\usepackage[colorlinks=true, linkcolor=black, citecolor=black, urlcolor=black]{hyperref} -\usepackage[linesnumbered,ruled,vlined]{algorithm2e} -\usepackage[nameinlink]{cleveref} -\usepackage{xspace} -\usepackage[colorinlistoftodos]{todonotes} -\usepackage[scaled=.83]{beramono} -\usepackage{lineno} -\usepackage{tikz-inet} -\usepackage{stmaryrd} -\usepackage{float} -\usepackage{tablefootnote} - -\usetikzlibrary{calc} -\linenumbers -\crefname{algocf}{alg.}{algs.} -\Crefname{algocf}{Algorithm}{Algorithms} -\crefformat{footnote}{#2\footnotemark[#1]#3} - -\input{macros} -\input{cmds} - -\title{VEIN: VErification via Interaction Nets for Neural Networks} -\author{Eric Marin} -\date{\today} - -\begin{document} - -\maketitle - -\begin{abstract} - This thesis introduces \textbf{VEIN} (VErification via Interaction Nets), a framework for neural network - verification with a focus on neural network equivalence. It acts as a formally verified - preprocessor that reduces neural networks to a normal form before they can be compared by a solver. - To enable this reduction, \textbf{VEIN} translates neural networks into Interaction Nets, a graph rewriting - computational model, and applies a set of graph rewriting rules to reduce the network into an - Abstract Syntax Tree. We present the complete framework and provide in detail: the translation - process, the graph rewriting rules and rigorous proofs of both soundness and termination for the - reduction process. -\end{abstract} - -\tableofcontents - -% Introduction: Context -> Problem -> Solution -> Validation -> Outline -\input{chapters/01-introduction} - -% Background -\input{chapters/02-background} - -% Core -\input{chapters/03-core} - -% Related Work -\input{chapters/04-related-work} - -% Conclusion -\input{chapters/05-conclusion} - -\bibliographystyle{plain} -\bibliography{references} - -\end{document} |
