Research map / Probabilistic and scientific modeling / Uncertainty and Gaussian processes
Revisiting Nonstationary Kernel Design for Multi-Output Gaussian Processes
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Non-Stationary Spectral Kernels (NeurIPS 2017 · similarity 0.91)
- Spectral Mixture Kernels for Multi-Output Gaussian Processes (NeurIPS 2017 · similarity 0.90)
- On the Identifiability and Interpretability of Gaussian Process Models (NeurIPS 2023 · similarity 0.90)
- Nonstationary Sparse Spectral Permanental Process (NeurIPS 2024 · similarity 0.88)
- The Price of Linear Time: Error Analysis of Structured Kernel Interpolation (ICML 2025 · similarity 0.86)
- Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024 · similarity 0.86)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
