repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 6d ago
arogozhnikov/hep_ml
Machine Learning for High Energy Physics.
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 51%Aalto University Team Develops Machine-Learning Optimized Pulses for Dark Matter Searches - Quantum Zeitgeist →
- PossiblePossibly related (embedding) · 49%An Optimisation Framework for the Well-Conditioned Training of Physics-Informed Neural Networks →
- PossiblePossibly related (embedding) · 49%Q-GAIN: A Python Package for Machine Learning and Physically Informed Analysis Applications →
- PossiblePossibly related (embedding) · 48%IN 2026 ML BOOK OUTDATED? [D] →
- PossiblePossibly related (embedding) · 48%Grounded autonomous research: a fault-tolerant LLM pipeline from corpus to manuscript in frontier computational physics →
- PossiblePossibly related (embedding) · 50%H&P set to launch ROP optimizer combining machine learning with physics-based modeling - Drilling Contractor →
- PossiblePossibly related (embedding) · 50%AI, Machine Learning and Deep Learning Advances in the Photothermal, Photoacoustic and Diffusion Wave Sciences and Technologies - AIP Publishing LLC →
- PossiblePossibly related (embedding) · 49%Integrating physics-based tools and machine learning for improved accuracy in city weather modeling - anl.gov →
Covers
Implements
paperAn Optimisation Framework for the Well-Conditioned Training of Physics-Informed Neural NetworkspaperQ-GAIN: A Python Package for Machine Learning and Physically Informed Analysis ApplicationspaperGrounded autonomous research: a fault-tolerant LLM pipeline from corpus to manuscript in frontier computational physics
Covers (incoming)
newsH&P set to launch ROP optimizer combining machine learning with physics-based modeling - Drilling ContractornewsAI, Machine Learning and Deep Learning Advances in the Photothermal, Photoacoustic and Diffusion Wave Sciences and Technologies - AIP Publishing LLCnewsIntegrating physics-based tools and machine learning for improved accuracy in city weather modeling - anl.govnewsMachine learning narrows search for additional particles in the Higgs boson family - Phys.orgnewsMachine learning helps optimize energy storage at the atomic scale - InspenetnewsVibrational power spectra as a tool to benchmark universal machine-learning interatomic potentials for molecular systems: the OMOL-1k-MD data set - NaturenewsLong-Range Machine Learning of Electron Density for Twisted Bilayer Moir\'e Materials - APS Journals
Implements (incoming)
Related across the graph
newsMachine learning helps optimize energy storage at the atomic scale - InspenetnewsMachine learning narrows search for additional particles in the Higgs boson family - Phys.orgnewsVibrational power spectra as a tool to benchmark universal machine-learning interatomic potentials for molecular systems: the OMOL-1k-MD data set - NaturepaperPhysics-Informed Neural Embeddings of PDE Solution FamiliespaperAn Optimisation Framework for the Well-Conditioned Training of Physics-Informed Neural NetworksnewsIntegrating physics-based tools and machine learning for improved accuracy in city weather modeling - anl.govpaperActive rejection enables reliable generalization of universal machine-learning interatomic potentialsnewsAI, Machine Learning and Deep Learning Advances in the Photothermal, Photoacoustic and Diffusion Wave Sciences and Technologies - AIP Publishing LLCnewsIN 2026 ML BOOK OUTDATED? [D]paperPhysically Consistent Parameter Inference: Transparent Machine Learning Emulation in High Energy Physics and CosmologypaperGrounded autonomous research: a fault-tolerant LLM pipeline from corpus to manuscript in frontier computational physicspaperQ-GAIN: A Python Package for Machine Learning and Physically Informed Analysis ApplicationsnewsH&P set to launch ROP optimizer combining machine learning with physics-based modeling - Drilling ContractornewsLong-Range Machine Learning of Electron Density for Twisted Bilayer Moir\'e Materials - APS JournalsnewsAalto University Team Develops Machine-Learning Optimized Pulses for Dark Matter Searches - Quantum Zeitgeist