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arXiv research

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.

168,695 papers · 148 categories

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0111 · Feb 202019922001200920172026
2 results for “SHARC”
SHARC: SHAP-Based Interpretability in Machine Learning Risk Models for Regulatory Capital under ICAAP and CCARq-fin.RM

SHARC explains machine learning risk models for regulatory capital, linking outputs to scenarios.

problem Inability to explain machine learning model outputs to regulatory bodies.
method SHAP-based explainability framework for Hybrid GPR-HS architecture and SVaR stress-testing.
result SHARC links SVaR outputs to scenario inputs, providing auditable traceability.
SHAPMachine LearningRegulatory CapitalICAAPCCAR
2026-07-06abs ↗pdf ↗
Combining SchNet and SHARC: The SchNarc machine learning approach for excited-state dynamicsphysics.chem-ph

SchNarc combines SchNet and SHARC for efficient photodynamics simulations.

problem Efficiently simulate excited-state dynamics of complex molecules.
method Combines SchNet for multiple electronic states with SHARC for molecular dynamics, learning energies, forces, and couplings.
result Paves the way for efficient photodynamics simulations of complex systems.
SchNetSHARCdeep learningexcited-state dynamicsphotochemistry
2020-02-17abs ↗pdf ↗