conftrace_

data imputation

42 papers

Explore in graph

Co-occurring keywords

missing datum (111) generative model (2892) representation learning (6206) tabular datum (226) variational autoencoder (1288) spatio-temporal datum (36) graph neural network (3962) latent representation (418) deep learning (2118) reinforcement learning (4352)

Papers

MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences EMNLP 2022
Longitudinal Variational Autoencoder AISTATS 2021
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data IJCAI 2021
Identifiable Generative models for Missing Not at Random Data Imputation NIPS 2021
Robustness to Missing Features using Hierarchical Clustering with Split Neural Networks (Student Abstract) AAAI 2021
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data AISTATS 2021
McFlow: Monte Carlo Flow Models for Data Imputation CVPR 2020
GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data CVPR 2020
Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data AISTATS 2020
Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not At Random Data NIPS 2020
MIWAE: Deep Generative Modelling and Imputation of Incomplete Data Sets ICML 2019
Processing of missing data by neural networks NIPS 2018
Input Convex Neural Networks ICML 2017
Directly Modeling Missing Data in Sequences with RNNs: Improved Classification of Clinical Time Series MLHC 2016
A Paradigm for Building Generalized Models of Human Image Perception Through Data Fusion CVPR 2016
Data Generation as Sequential Decision Making NIPS 2015
Multimodal Learning with Deep Boltzmann Machines JMLR 2014