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.
This paper bounds min-entropy leakage for Blowfish privacy using graph symmetries.
Feature selection, in the context of machine learning, is the process of separating the highly predictive feature from those that might be irrelevant or redundant. Information theory has been recognized as a useful concept for this task, as the prediction power stems from the correlation, i.e., the mutual information, …
New method learns cell trajectories and network interactions from single-cell data.
New method infers population dynamics from snapshots using path space optimization.
Study quantifies interactions between unlabeled multimodal data.