arXiv (OAI)
open access
Time series classification with random convolution kernels: pooling operators and input representations matter
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
- Time series classification with random convolution kernels: pooling operators and input representations matter#1053435
- In-Context Time Series Classification with Random Convolutional Features#386866
- TimEE: End-to-end Time Series Classification via In-Context Learning#349635
- Improving Function Space Flow Matching with Kernel Optimal Transport#1142348
- Improving Function Space Flow Matching with Kernel Optimal Transport#1122299
Record · ID 179079
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