Conceptio › Archive › arXiv (OAI Expanded)
arXiv (OAI Expanded) open access

GradRepair-ODE: Certified Gradient Repair for Neural ODE Training

Bi, Ziqian et al.
arXiv (OAI Expanded) · Papers
Open Source ↗Direct PDF ↓
68t0790c30computation-and-languagemachine-learning
Neural ordinary differential equations use numerical solvers inside the training loop. The solver determines the forward trajectory and also affects the gradient passed to the optimizer. That coupling creates a reliability problem for scientific machine learning and continuous-time generative modeli
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1071011
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive