Optimal transportation networks represent a vital intersection of mathematical optimisation, network theory and applied engineering. These problems focus on designing networks that transport resources ...
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A thermodynamic approach to machine learning: How optimal transport theory can improve generative models
Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics that deals with constantly changing systems, explains why optimal ...
Over the past decades, optimal transport theory has found broad applications across both applied and theoretical fields. A central role is played by the so-called fundamental theorem of optimal ...
Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics that deals with constantly changing systems, explains why optimal ...
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