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Variational Selective Autoencoder: Learning from Partially-Observed
  Heterogeneous Data

Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data

25 February 2021
Yu Gong
Hossein Hajimirsadeghi
Jiawei He
Thibaut Durand
Greg Mori
    CML
ArXivPDFHTML

Papers citing "Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data"

6 / 6 papers shown
Title
Robust Simulation-Based Inference under Missing Data via Neural Processes
Yogesh Verma
Ayush Bharti
Vikas K. Garg
70
0
0
03 Mar 2025
Transformed Distribution Matching for Missing Value Imputation
Transformed Distribution Matching for Missing Value Imputation
He Zhao
Ke Sun
Amir Dezfouli
Edwin V. Bonilla
34
19
0
20 Feb 2023
Missing Data Imputation and Acquisition with Deep Hierarchical Models
  and Hamiltonian Monte Carlo
Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo
I. Peis
Chao Ma
José Miguel Hernández-Lobato
BDL
DRL
16
14
0
09 Feb 2022
Identifiable Generative Models for Missing Not at Random Data Imputation
Identifiable Generative Models for Missing Not at Random Data Imputation
Chao Ma
Cheng Zhang
36
34
0
27 Oct 2021
Learning Multimodal VAEs through Mutual Supervision
Learning Multimodal VAEs through Mutual Supervision
Thomas Joy
Yuge Shi
Philip Torr
Tom Rainforth
Sebastian M. Schmon
N. Siddharth
SSL
29
20
0
23 Jun 2021
MissForest - nonparametric missing value imputation for mixed-type data
MissForest - nonparametric missing value imputation for mixed-type data
D. Stekhoven
Peter Buhlmann
177
4,228
0
04 May 2011
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