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.
ALMANACS benchmarks explainability methods on simulatability.
In recent years, deep learning methods have outperformed other methods in image recognition. This has fostered imagination of potential application of deep learning technology including safety relevant applications like the interpretation of medical images or autonomous driving. The passage from assistance of a human d…
Paper shows how to quantify uncertainty in medical ML models.
A new protocol corrects confounding effects to measure alignment-induced activation shifts accurately.