0000000000927145

AUTHOR

Philippe Spino

showing 1 related works from this author

Neural Teleportation

2023

In this paper, we explore a process called neural teleportation, a mathematical consequence of applying quiver representation theory to neural networks. Neural teleportation "teleports" 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 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 m…

FOS: Computer and information sciencesComputer Science - Machine LearningGeneral MathematicsComputer Science (miscellaneous)Computer Science - Neural and Evolutionary ComputingQuantum PhysicsNeural and Evolutionary Computing (cs.NE)Engineering (miscellaneous)quiver representations; neural networks; teleportationMachine Learning (cs.LG)
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