Emri Ml Deeplearning
Description
--- name: emri-ml-deeplearning description: ML/deep learning for EMRI waveform modeling, parameter estimation, population inference - main research direction type: knowledge --- # EMRI x ML/Deep Learning ## Key Bottleneck 14-dim parameter space, ~10^4-10^6 local maxima, single FEW waveform ~100ms -> standard MCMC needs 10^3-10^5 CPU hours. ML role: **accelerate inference, not replace physics models**. ## Simulation-Based Inference (Cole et al. 2025, 2505.16795) - Method: Truncated Marginal
Installation
Installs to ~/.claude/skills/ljq2088-myclaude-emri-ml-deeplearning/SKILL.md
mkdir -p ~/.claude/skills/ljq2088-myclaude-emri-ml-deeplearning && curl -fsSL https://raw.githubusercontent.com/ljq2088/MyClaude/HEAD/skills/emri-ml-deeplearning.md -o ~/.claude/skills/ljq2088-myclaude-emri-ml-deeplearning/SKILL.md Restart Claude Code, or start a new session, for it to be picked up.
Full documentation available on GitHub
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