Automatic Differentiation from Scratch: How PyTorch Computes Gradients in Physics-Informed Neural Networks
arXiv 2607.13042•d1331cf5b1dfc26676dd599ee068c01d1128a64b639068217ecaa7339481e8cb
LLM-invocationPyTorchautodiffcreate_graphexplainabilityfederated-learningmachine-learningmodel-editingmodel-extractionmodel-fingerprintingparameter-decompositionprivacy
Paper metadata
- arXiv ID
- 2607.13042
- Version
- Not specified by this published record
- Category
- Computer Science — Machine Learning (cs.LG)
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Evidence and limitations
- Source ID
- arxiv_cs_lg
- Record identifier
- d1331cf5b1dfc26676dd599ee068c01d1128a64b639068217ecaa7339481e8cb
- Enrichment time
- 2026-07-16T08:52:13Z
- AI-assisted enrichment
- Yes
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