mlsanityData to 7 Oct 2026

Scalable Gaussian Process Variational Autoencoders

arXiv 2010.13472 ↗First posted 26 Oct 2020stat.ML cs.LGcited by 20

Not on the map. Why?

Abstract (arXiv)

Conventional variational autoencoders fail in modeling correlations between data points due to their use of factorized priors. Amortized Gaussian process inference through GP-VAEs has led to significant improvements in this regard, but is still inhibited by the intrinsic complexity of exact GP inference. We improve the scalability of these methods through principled sparse inference approaches. We propose a new scalable GP-VAE model that outperforms existing approaches in terms of runtime and memory footprint, is easy to implement, and allows for joint end-to-end optimization of all components.

Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 Oct 2020.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 2; 2022: 2; 2023: 3; 2024: 3; 2025: 6; 2026: 4.

20 papers.

Sort:

  1. 2021Priors in Bayesian Deep Learning: A Reviewcited by 101
  2. 2024On the Challenges and Opportunities in Generative AIcited by 31
  3. 2022Markovian Gaussian Process Variational Autoencoderscited by 16
  4. 2023Fully Bayesian Autoencoders with Latent Sparse Gaussian Processescited by 9
  5. 2021On Disentanglement in Gaussian Process Variational Autoencoderscited by 5
  6. 2022Phi-DVAE: Physics-Informed Dynamical Variational Autoencoders for Unstructured Data Assimilationcited by 4
  7. 2023Identifiable Feature Learning for Spatial Data with Nonlinear ICAcited by 4
  8. 2024Latent mixed-effect models for high-dimensional longitudinal datacited by 3
  9. 2025Neighbour-Driven Gaussian Process Variational Autoencoders for Scalable Structured Latent Modellingcited by 3
  10. 2025Recurrent Memory for Online Interdomain Gaussian Processescited by 2
  11. 2025Sparse Gaussian Neural Processescited by 2
  12. 2026AR-Flow VAE: A Structured Autoregressive Flow Prior Variational Autoencoder for Unsupervised Blind Source Separationcited by 2
8 more
  1. 2024Integrating Random Effects in Variational Autoencoders for Dimensionality Reduction of Correlated Datacited by 1
  2. 2025When Bayesian Tensor Completion Meets Multioutput Gaussian Processes: Functional Universality and Rank Learningcited by 1
  3. 2023Amortised Inference in Bayesian Neural Networkscited by 0
  4. 2025PIGPVAE: Physics-Informed Gaussian Process Variational Autoencoderscited by 0
  5. 2025Latent-Autoregressive GP-VAE Language Modelcited by 0
  6. 2026Modeling Temporal scRNA-seq Data with Latent Gaussian Process and Optimal Transportcited by 0
  7. 2026Gaussian Process Prior Variational Autoencoder for Endoscopic Videoscited by 0
  8. 2026Population-Level Generative Modeling for Ranking Datacited by 0