not-MIWAE: Deep Generative Modelling with Missing not at Random Data

not-MIWAE: Deep Generative Modelling with Missing not at Random Data

23 June 2020

Niels Bruun Ipsen

Pierre-Alexandre Mattei

Papers citing "not-MIWAE: Deep Generative Modelling with Missing not at Random Data"

13 / 13 papers shown

Title
Robust Simulation-Based Inference under Missing Data via Neural Processes Yogesh Verma Ayush Bharti Vikas K. Garg 68 0 0 03 Mar 2025
Developing robust methods to handle missing data in real-world applications effectively Youran Zhou Mohamed Reda Bouadjenek Sunil Arya 39 0 0 27 Feb 2025
Improving Variational Autoencoder Estimation from Incomplete Data with Mixture Variational Families Vaidotas Šimkus Michael U. Gutmann 40 2 0 05 Mar 2024
Ambient Diffusion: Learning Clean Distributions from Corrupted Data Giannis Daras Kulin Shah Y. Dagan Aravind Gollakota A. Dimakis Adam R. Klivans DiffM 45 67 0 30 May 2023
Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models Irene Balelli Aude Sportisse Francesco Cremonesi Pierre-Alexandre Mattei Marco Lorenzi 32 3 0 17 Apr 2023
Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data Zongyu Dai Zhiqi Bu Q. Long 32 4 0 23 Nov 2022
Interpretable Models Capable of Handling Systematic Missingness in Imbalanced Classes and Heterogeneous Datasets Sreejita Ghosh E. Baranowski Michael Biehl W. Arlt Peter Tiño the United Kingdom Utrecht University 23 6 0 04 Jun 2022
PROMISSING: Pruning Missing Values in Neural Networks S. M. Kia N. M. Rad Dan Opstal B. V. Schie A. Marquand J. Pluim W. Cahn H. Schnack VLM 29 4 0 03 Jun 2022
Learning Conditional Variational Autoencoders with Missing Covariates S. Ramchandran Gleb Tikhonov Otto Lönnroth Pekka Tiikkainen Harri Lähdesmäki CML 16 13 0 02 Mar 2022
Model-agnostic out-of-distribution detection using combined statistical tests Federico Bergamin Pierre-Alexandre Mattei Jakob Drachmann Havtorn Hugo Senetaire Hugo Schmutz Lars Maaløe Søren Hauberg J. Frellsen OODD 24 18 0 02 Mar 2022
A Brief Overview of Unsupervised Neural Speech Representation Learning Lasse Borgholt Jakob Drachmann Havtorn Joakim Edin Lars Maaløe Christian Igel BDL AI4TS SSL 19 11 0 01 Mar 2022
Identifiable Generative Models for Missing Not at Random Data Imputation Chao Ma Cheng Zhang 33 34 0 27 Oct 2021
MissForest - nonparametric missing value imputation for mixed-type data D. Stekhoven Peter Buhlmann 177 4,222 0 04 May 2011