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MIWAE: Deep Generative Modelling and Imputation of Incomplete Data

6 December 2018

Pierre-Alexandre Mattei

J. Frellsen

SyDa

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Papers citing "MIWAE: Deep Generative Modelling and Imputation of Incomplete Data"

23 / 23 papers shown

Title
CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation Aditya Gorla Ryan Wang Zhengtong Liu Ulzee An Sriram Sankararaman 32 0 0 02 Jun 2025
Robust prediction under missingness shifts P. Rockenschaub Zhicong Xian Alireza Zamanian Marta Piperno Octavia-Andreea Ciora E. Pachl Narges Ahmidi OOD 82 0 0 24 Jun 2024
Scalable Numerical Embeddings for Multivariate Time Series: Enhancing Healthcare Data Representation Learning Chun-Kai Huang Yi-Hsien Hsieh Ta-Jung Chien Li-Cheng Chien Shao-Hua Sun T. Su J. Kao Che Lin AI4TS 93 0 0 26 May 2024
DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Model Yizhu Wen Kai Yi Jing Ke Yiqing Shen DiffM 74 8 0 20 Mar 2024
ReMasker: Imputing Tabular Data with Masked Autoencoding Tianyu Du Luca Melis Ting Wang 71 19 0 25 Sep 2023
Variational Autoencoding of Dental Point Clouds J. Z. Ye Thomas Orkild P. Søndergaard Søren Hauberg 3DPC 59 0 0 20 Jul 2023
MISNN: Multiple Imputation via Semi-parametric Neural Networks Zhiqi Bu Zongyu Dai Yiliang Zhang Q. Long 62 0 0 02 May 2023
Explainable Data Imputation using Constraints Sandeep Hans Diptikalyan Saha Aniya Aggarwal 57 5 0 10 May 2022
Fairness in Missing Data Imputation Yiliang Zhang Q. Long 84 13 0 22 Oct 2021
Unsupervised domain adaptation with non-stochastic missing data Matthieu Kirchmeyer Patrick Gallinari A. Rakotomamonjy Amin Mantrach 61 2 0 16 Sep 2021
Training Deep Normalizing Flow Models in Highly Incomplete Data Scenarios with Prior Regularization Edgar A. Bernal 41 1 0 03 Apr 2021
Spatiotemporal Tensor Completion for Improved Urban Traffic Imputation Ahmed Ben Said A. Erradi 55 37 0 12 Mar 2021
Artificial Neural Networks to Impute Rounded Zeros in Compositional Data M. Templ 42 8 0 18 Dec 2020
PC-GAIN: Pseudo-label Conditional Generative Adversarial Imputation Networks for Incomplete Data Yufeng Wang Dan Li Xiang Li Min Yang 66 67 0 16 Nov 2020
NeuMiss networks: differentiable programming for supervised learning with missing values Marine Le Morvan Julie Josse Thomas Moreau Erwan Scornet Gaël Varoquaux 88 8 0 03 Jul 2020
VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data Chao Ma Sebastian Tschiatschek José Miguel Hernández-Lobato Richard Turner Cheng Zhang DRL VLM 81 69 0 21 Jun 2020
Probabilistic Autoencoder Vanessa Böhm U. Seljak UQCV BDL DRL 87 32 0 09 Jun 2020
Variational Variance: Simple, Reliable, Calibrated Heteroscedastic Noise Variance Parameterization Andrew Stirn David A. Knowles DRL 92 10 0 08 Jun 2020
Minority Class Oversampling for Tabular Data with Deep Generative Models R. Camino Christian A. Hammerschmidt R. State 62 2 0 07 May 2020
MCFlow: Monte Carlo Flow Models for Data Imputation Trevor W. Richardson Wencheng Wu Lei Lin Beilei Xu Edgar A. Bernal OOD 80 48 0 27 Mar 2020
A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis Christopher J. Urban Daniel J. Bauer BDL 81 33 0 22 Jan 2020
Uncertainty Quantification with Generative Models Vanessa Böhm F. Lanusse U. Seljak 72 26 0 22 Oct 2019
Generative Imputation and Stochastic Prediction Mohammad Kachuee Kimmo Karkkainen Orpaz Goldstein Sajad Darabi Majid Sarrafzadeh 82 24 0 22 May 2019