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.
New method efficiently learns positive-definite curvature for neural nets.
Unified framework for hyperbolic embeddings from mixed data types.
The paper explores Wiener-Granger causality and its computational enhancements.
We derive a factorization of the Alexander polynomial of the 4-strand Turk's head knot using hypergeometric representations.
We address the problem of acoustic source separation in a deep learning framework we call "deep clustering." Rather than directly estimating signals or masking functions, we train a deep network to produce spectrogram embeddings that are discriminative for partition labels given in training data. Previous deep network …