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.
Machine learning papers often fail to distinguish between explanation and speculation.
This article asks how planning scholarship may effectively gain impact in planning practice through media exposure. In liberal democracies the public sphere is dominated by mass media. Therefore, working with such media is a prerequisite for effective public impact of planning research. Using the example of megaproject…
The study analyzes and benchmarks graph conformal prediction methods.
The paper explores various forms of calibration scores and their implications for fairness.
The paper proposes trading grades in a financial market to address unintended consequences of grading systems.
LR-Robot accelerates SLRs by combining expert oversight and AI, revealing trends and patterns in financial research.
This dissertation tackles challenges in reliable machine learning measurement.