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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

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1 result for “Phase2vec”
Phase2vec: Dynamical systems embedding with a physics-informed convolutional networkcs.LG

Phase2vec learns embeddings of dynamical systems without supervision.

problem Predicting the classes of 2D dynamical systems from data.
method Physics-informed convolutional network that extracts geometric features and minimizes reconstruction loss.
result Learned embeddings respect the semantics of physical systems and outperform blackbox classifiers.
Phase2vecDynamical systemsConvolutional networkPhysics-informedEmbeddings
2022-12-07abs ↗pdf ↗