Neural Teleportation

In this paper, we explore a process called neural teleportation, a mathematical consequence of applying quiver representation theory to neural networks. Neural teleportation <i>teleports</i> a network to a new position in the weight space and preserves its function. This phenomenon comes...

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Main Authors: Marco Armenta, Thierry Judge, Nathan Painchaud, Youssef Skandarani, Carl Lemaire, Gabriel Gibeau Sanchez, Philippe Spino, Pierre-Marc Jodoin
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/11/2/480
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author Marco Armenta
Thierry Judge
Nathan Painchaud
Youssef Skandarani
Carl Lemaire
Gabriel Gibeau Sanchez
Philippe Spino
Pierre-Marc Jodoin
author_facet Marco Armenta
Thierry Judge
Nathan Painchaud
Youssef Skandarani
Carl Lemaire
Gabriel Gibeau Sanchez
Philippe Spino
Pierre-Marc Jodoin
author_sort Marco Armenta
collection DOAJ
description In this paper, we explore a process called neural teleportation, a mathematical consequence of applying quiver representation theory to neural networks. Neural teleportation <i>teleports</i> a network to a new position in the weight space and preserves its function. This phenomenon comes directly from the definitions of representation theory applied to neural networks and it turns out to be a very simple operation that has remarkable properties. We shed light on the surprising and counter-intuitive consequences neural teleportation has on the loss landscape. In particular, we show that teleportation can be used to explore loss level curves, that it changes the local loss landscape, sharpens global minima and boosts back-propagated gradients at any moment during the learning process.
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spelling doaj.art-59d74c6ce50c4c649a3610ef20b917f92023-11-30T23:22:47ZengMDPI AGMathematics2227-73902023-01-0111248010.3390/math11020480Neural TeleportationMarco Armenta0Thierry Judge1Nathan Painchaud2Youssef Skandarani3Carl Lemaire4Gabriel Gibeau Sanchez5Philippe Spino6Pierre-Marc Jodoin7Department of Computer Science, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, CanadaDepartment of Computer Science, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, CanadaDepartment of Computer Science, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, CanadaDepartment of Computer Science, Université de Bourgogne Franche-Comte, 21000 Dijon, FranceDepartment of Computer Science, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, CanadaDepartment of Computer Science, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, CanadaDepartment of Computer Science, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, CanadaDepartment of Computer Science, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, CanadaIn this paper, we explore a process called neural teleportation, a mathematical consequence of applying quiver representation theory to neural networks. Neural teleportation <i>teleports</i> a network to a new position in the weight space and preserves its function. This phenomenon comes directly from the definitions of representation theory applied to neural networks and it turns out to be a very simple operation that has remarkable properties. We shed light on the surprising and counter-intuitive consequences neural teleportation has on the loss landscape. In particular, we show that teleportation can be used to explore loss level curves, that it changes the local loss landscape, sharpens global minima and boosts back-propagated gradients at any moment during the learning process.https://www.mdpi.com/2227-7390/11/2/480quiver representationsneural networksteleportation
spellingShingle Marco Armenta
Thierry Judge
Nathan Painchaud
Youssef Skandarani
Carl Lemaire
Gabriel Gibeau Sanchez
Philippe Spino
Pierre-Marc Jodoin
Neural Teleportation
Mathematics
quiver representations
neural networks
teleportation
title Neural Teleportation
title_full Neural Teleportation
title_fullStr Neural Teleportation
title_full_unstemmed Neural Teleportation
title_short Neural Teleportation
title_sort neural teleportation
topic quiver representations
neural networks
teleportation
url https://www.mdpi.com/2227-7390/11/2/480
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AT nathanpainchaud neuralteleportation
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AT carllemaire neuralteleportation
AT gabrielgibeausanchez neuralteleportation
AT philippespino neuralteleportation
AT pierremarcjodoin neuralteleportation