Research map / Probabilistic and scientific modeling / Variational and generative sampling
Gaussian Process Prior Variational Autoencoders
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.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use a GP prior over latent representations and jointly optimize the autoencoder and GP parameters | VAE · Rotated MNIST | MSE | Helped |
| Use a GP prior over latent representations and jointly optimize the autoencoder and GP parameters | VAE · Face-Place Database (3.0) | MSE | Helped |
| Optimize encoder, decoder, and GP parameters jointly rather than keeping encoder and decoder fixed during GP optimization (ablation) | GPPVAE · Rotated MNIST | MSE: 0.0306±0.0009 -> 0.0280±0.0008 | Helped |
| Optimize encoder, decoder, and GP parameters jointly rather than keeping encoder and decoder fixed during GP optimization (ablation) | GPPVAE · Face-Place Database (3.0) | MSE: 0.0298±0.0008 -> 0.0281±0.0008 | No clear effect |
Closest papers by meaning
- Neighbour-Driven Gaussian Process Variational Autoencoders for Scalable Structured Latent Modelling (ICML 2025 · similarity 0.92)
- Inter-domain Inference for Gaussian Process Variational Autoencoders (NeurIPS 2026 · similarity 0.92)
- Variational Autoencoder with Implicit Optimal Priors (AAAI 2019 · similarity 0.91)
- Bayesian Basis Function Approximation for Scalable Gaussian Process Priors in Deep Generative Models (ICML 2025 · similarity 0.91)
- Markovian Gaussian Process Variational Autoencoders (ICML 2023 · similarity 0.91)
- Gaussian Process Modeling of Approximate Inference Errors for Variational Autoencoders (CVPR 2022 · similarity 0.91)
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.