Code, run specifications, and per-run artifacts for 'A Cross-Domain Empirical Benchmark of Quantum-Inspired and Classical Optimization Algorithms for Machine Learning'. All main-text tables and figures of the paper regenerate programmatically from this tree (v2/codes/analysis/).
Code, run specifications, and per-run artifacts for 'A Cross-Domain Empirical Benchmark of Quantum-Inspired and Classical Optimization Algorithms for Machine Learning'. The main-text result tables and generated figures of the paper regenerate programmatically from this tree (v2/c…
Code, run specifications, and per-run artifacts for 'A Cross-Domain Empirical Benchmark of Quantum-Inspired and Classical Optimization Algorithms for Machine Learning'. All main-text tables and figures of the paper regenerate programmatically from this tree (v2/codes/analysis/).
Compact, reproducible tools and outcome-free derived tables for release-aware public-source overlap auditing in molecular machine learning benchmarks.
This repository archives the data and code accompanying the manuscript: "Spatial but not temporal predictability of Korean extreme-rainfall change: limits of covariate machine learning and a climate-factor implementation of the Clausius-Clapeyron / nonstationary-GEV alternative."
Yilong Dai, Yiming Sun, Yuehua Chen, Shengyu Chen, Peyman Givi, Xiaowei Jia, et al.
TIDE is a physically diverse 3D turbulence benchmark dataset: 15 configurations of the same incompressible Navier-Stokes system along eight physics axes (forced isotropic, extended physics, free decay), each shipping 8-16 fully independent realizations at 256^3 in fp64 (134 traje…
Initial public release This is the first public software release accompanying the manuscript: A Theory-Grounded Diagnostic Framework for Temporal Computation in Spiking Neural Networks The framework separates four properties that are often conflated in the analysis of spiking neu…