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.
Automates feature extraction from JSON data for machine learning.
End-to-end learning framework for tree-structured data.
Automatically extracts hyperparameter schemas from AI library documentation.
This paper extends the proof of density of neural networks in the space of continuous (or even measurable) functions on Euclidean spaces to functions on compact sets of probability measures. By doing so the work parallels a more then a decade old results on mean-map embedding of probability measures in reproducing kern…
BoFire optimizes chemistry experiments using Bayesian Optimization.
New method explains classifiers trained on raw hierarchical data.
Extends deep learning for hierarchical data to improve classification accuracy.
CodeReef enables sharing ML models across platforms efficiently.
Hybrid LLM and quantum optimization improve CSA collateral management by 9-10%.
Benchpress streamlines benchmarking structure learning algorithms for probabilistic models.
Insurance contracts for autonomous AI agents must be actuarially sound and resistant to gaming.
CK simplifies ML model deployment and reproducibility with open APIs and DevOps.
AGENTICAITA uses AI agents to autonomously trade markets without human intervention.
VisitHGNN predicts visit probabilities between neighborhoods and POIs using graph neural networks.
LLMs cause inconsistent financial outputs, smaller models are more reliable.