Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes

9 February 2023

Papers citing "Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes"

6 / 6 papers shown

Title
Generative Uncertainty in Diffusion Models Metod Jazbec Eliot Wong-Toi Guoxuan Xia Dan Zhang Eric T. Nalisnick Stephan Mandt DiffM 49 0 0 28 Feb 2025
Preventing Model Collapse in Gaussian Process Latent Variable Models Ying Li Zhidi Lin Feng Yin Michael Minyi Zhang VLM 35 1 0 02 Apr 2024
PPG-to-ECG Signal Translation for Continuous Atrial Fibrillation Detection via Attention-based Deep State-Space Modeling Khuong Vo Mostafa El-Khamy Yoojin Choi 21 2 0 27 Sep 2023
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models Ba-Hien Tran Giulio Franzese Pietro Michiardi Maurizio Filippone DiffM 25 3 0 30 May 2023
Sparse Gaussian Process Variational Autoencoders Matthew Ashman Jonathan So Will Tebbutt Vincent Fortuin Michael Pearce Richard E. Turner 16 33 0 20 Oct 2020
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,262 0 09 Jun 2012