arXiv (All)
open access
KernelPack-JAX: a meshless differentiable GPU framework for node generation and forward and inverse PDE problems
We present KernelPack-JAX, a meshless, differentiable, GPU framework in JAX for solving forward and inverse PDE problems in domains whose boundaries, including internal obstacles, are given only by samples of their smooth pieces. Our node generator is based on a new stacked representation of piecewi
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
- SeamFlow: Structure-Aware Flow Matching on Edge Probabilities for Artist-Like UV Unwrapping#971423
- HuggingFaceH4/MATH-500#786645
- TaoFlowForge: Progressive Native Mesh Generation via Cascaded Flow Matching#1132340
- Least energy solutions for a quasilinear Neumann problem#1389522
- Compass: Dissecting Communication and Computation Operators for Efficient LLM Training#997555
Record · ID 1400311
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
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
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive