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.
Ray-based framework classifies high-dimensional structures with reduced data.
New framework classifies high-dimensional shapes using ray intersections, establishing data requirements.
Ends and cohomology theory for noncompact spaces.
Study irrational rotations and construct 2-filling rays on infinite type surfaces.
While state-of-the-art NLP explainability (XAI) methods focus on explaining per-sample decisions in supervised end or probing tasks, this is insufficient to explain and quantify model knowledge transfer during (un-)supervised training. Thus, for TX-Ray, we modify the established computer vision explainability principle…
A statistical toolbox for analyzing model performance in medical imaging.
Bayesian method refines surrogate models for accurate full waveform inversion.