Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Despite significant mathematical refinements, econometrics has shown the weaknesses of its logical underpinnings, primarily during economic turning points—financial crises, pandemics, and geopolitical ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

Abstract: New types and variants of malware are constantly and rapidly being developed. Identifying malware effectively and quickly has become a primary goal of information security analysts. This ...

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This repository provides an official PyTorch implementation of STHN: Simplifying Temporal Heterogeneous Network for Continuous-Time Link Prediction (CIKM 2023). [paper] Model architecture. (a) ...

A Python ETL pipeline that scrapes Jama Software's "The Essential Guide to Requirements Management and Traceability" and loads it into a Neo4j knowledge graph using the neo4j_graphrag library for ...