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Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes

Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes

International Conference on Machine Learning (ICML), 2023
9 February 2023
Ba-Hien Tran
Babak Shahbaba
Stephan Mandt
Maurizio Filippone
    SyDaBDLUQCV
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Papers citing "Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes"

5 / 5 papers shown
Neighbour-Driven Gaussian Process Variational Autoencoders for Scalable Structured Latent Modelling
Neighbour-Driven Gaussian Process Variational Autoencoders for Scalable Structured Latent Modelling
Xinxing Shi
Xiaoyu Jiang
Mauricio A. Álvarez
BDL
438
1
0
22 May 2025
Generative Uncertainty in Diffusion Models
Generative Uncertainty in Diffusion ModelsConference on Uncertainty in Artificial Intelligence (UAI), 2025
Metod Jazbec
Eliot Wong-Toi
Guoxuan Xia
Dan Zhang
Eric T. Nalisnick
Stephan Mandt
DiffM
549
8
0
28 Feb 2025
Preventing Model Collapse in Gaussian Process Latent Variable Models
Preventing Model Collapse in Gaussian Process Latent Variable ModelsInternational Conference on Machine Learning (ICML), 2024
Ying Li
Zhidi Lin
Feng Yin
Michael Minyi Zhang
VLM
299
4
0
02 Apr 2024
PPG-to-ECG Signal Translation for Continuous Atrial Fibrillation
  Detection via Attention-based Deep State-Space Modeling
PPG-to-ECG Signal Translation for Continuous Atrial Fibrillation Detection via Attention-based Deep State-Space ModelingAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023
Khuong Vo
Mostafa El-Khamy
Yoojin Choi
187
12
0
27 Sep 2023
One-Line-of-Code Data Mollification Improves Optimization of
  Likelihood-based Generative Models
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative ModelsNeural Information Processing Systems (NeurIPS), 2023
Ba-Hien Tran
Giulio Franzese
Pietro Michiardi
Maurizio Filippone
DiffM
444
4
0
30 May 2023
1
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