137 papers with code • 3 benchmarks • 7 datasets

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Greatest papers with code

Image Inpainting with Learnable Feature Imputation

hukkelas/DeepPrivacy 2 Nov 2020

We propose (layer-wise) feature imputation of the missing input values to a convolution.

Image Inpainting Imputation

Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction

iskandr/fancyimpute 2 Mar 2020

However, once the missing values are imputed, most existing methods do not consider the fidelity or confidence of the imputed values in the modeling of downstream tasks.

Imputation Mortality Prediction

A Transformer-based Framework for Multivariate Time Series Representation Learning

timeseriesAI/tsai 6 Oct 2020

In this work we propose for the first time a transformer-based framework for unsupervised representation learning of multivariate time series.

General Classification Imputation +4

Scalable Low-Rank Tensor Learning for Spatiotemporal Traffic Data Imputation

xinychen/awesome-latex-drawing 7 Aug 2020

Recent studies based on tensor nuclear norm have demonstrated the superiority of tensor learning in imputation tasks by effectively characterizing the complex correlations/dependencies in spatiotemporal data.

Imputation Traffic Data Imputation

A Nonconvex Low-Rank Tensor Completion Model for Spatiotemporal Traffic Data Imputation

xinychen/awesome-latex-drawing 23 Mar 2020

Sparsity and missing data problems are very common in spatiotemporal traffic data collected from various sensing systems.

Imputation Traffic Data Imputation

Bayesian Temporal Factorization for Multidimensional Time Series Prediction

xinychen/awesome-latex-drawing 14 Oct 2019

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 +1

Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation

xinychen/transdim 30 Apr 2021

In this paper, we propose a low-rank autoregressive tensor completion (LATC) framework by introducing \textit{temporal variation} as a new regularization term into the completion of a third-order (sensor $\times$ time of day $\times$ day) tensor.

Imputation Time Series +1

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

YosefLab/scVI 6 May 2019

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

Imaging Time-Series to Improve Classification and Imputation

cauchyturing/UCR_Time_Series_Classification_Deep_Learning_Baseline 1 Jun 2015

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.

General Classification Imputation +2