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Imputation

44 papers with code · Time Series

( Image credit: Alexandra M. Schmidt )

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Greatest papers with code

Bayesian Temporal Factorization for Multidimensional Time Series Prediction

14 Oct 2019xinychen/awesome-latex-drawing

In this paper, we propose a Bayesian temporal factorization (BTF) framework for modeling multidimensional time series---in particular spatiotemporal data---in the presence of missing values.

IMPUTATION TIME SERIES TIME SERIES PREDICTION

Imaging Time-Series to Improve Classification and Imputation

1 Jun 2015cauchyturing/UCR_Time_Series_Classification_Deep_Learning_Baseline

We used Tiled Convolutional Neural Networks (tiled CNNs) on 20 standard datasets to learn high-level features from the individual and compound GASF-GADF-MTF images.

IMPUTATION TIME SERIES TIME SERIES CLASSIFICATION

A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements

6 May 2019YosefLab/scVI

Building upon domain adaptation work, we propose gimVI, a deep generative model for the integration of spatial transcriptomic data and scRNA-seq data that can be used to impute missing genes.

DOMAIN ADAPTATION IMPUTATION

Input Convex Neural Networks

ICML 2017 locuslab/icnn

We show that many existing neural network architectures can be made input-convex with a minor modification, and develop specialized optimization algorithms tailored to this setting.

IMPUTATION STRUCTURED PREDICTION

Unsupervised Data Imputation via Variational Inference of Deep Subspaces

8 Mar 2019adalca/neuron

In this work, we introduce a general probabilistic model that describes sparse high dimensional imaging data as being generated by a deep non-linear embedding.

IMPUTATION

A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning

NeurIPS 2017 simonkamronn/kvae

This paper takes a step towards temporal reasoning in a dynamically changing video, not in the pixel space that constitutes its frames, but in a latent space that describes the non-linear dynamics of the objects in its world.

IMPUTATION