Research map / Probabilistic and scientific modeling / Uncertainty and Gaussian processes
Transformed Latent Variable 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
- Scalable Exact Inference in Multi-Output Gaussian Processes (ICML 2020 · similarity 0.90)
- Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes (NeurIPS 2017 · similarity 0.89)
- Neighbour-Driven Gaussian Process Variational Autoencoders for Scalable Structured Latent Modelling (ICML 2025 · similarity 0.86)
- Bayesian Basis Function Approximation for Scalable Gaussian Process Priors in Deep Generative Models (ICML 2025 · similarity 0.86)
- Preventing Model Collapse in Gaussian Process Latent Variable Models (ICML 2024 · similarity 0.85)
- Multi-View Oriented GPLVM: Expressiveness and Efficiency (NeurIPS 2025 · similarity 0.84)
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.