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cond-mat.stat-mech2026
Bridging Control, Inference, Transport, and Thermodynamics: From Theory to Applications in Learning
Emmy Blumenthal, Nikolas Claussen, Benjamin Eysenbach +4
The last decade has seen the development of powerful methods for learning complex structure from high-dimensional data. These advances have brought to the foreground fundamental co…
cond-mat.stat-mech2025
Identifying nonequilibrium degrees of freedom in high-dimensional stochastic systems
Catherine Ji, Ravin Raj, Benjamin Eysenbach +1
Any coarse-grained description of a nonequilibrium system should faithfully represent its latent irreversible degrees of freedom. However, standard dimensionality reduction methods…