Bridging Control, Inference, Transport, and Thermodynamics
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 connections between subdisciplines of physics, applied mathematics, and machine learning. In this review, we bring together some of these idea...
Emmy Blumenthal, Nikolas H. Claussen, Benjamin Eysenbach et al.
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