RIFLE: Imputation and Robust Inference from Low Order Marginals

https://openreview.net/forum?id=oud7Ny0KQy

#imputation #impute #missforest

Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Density Approach

https://openreview.net/forum?id=KqR3rgooXb

#imputation #imputed #multimodal

'Distributed Nonparametric Regression Imputation for Missing Response Problems with Large-scale Data', by Ruoyu Wang, Miaomiao Su, Qihua Wang.

http://jmlr.org/papers/v24/21-0673.html

#imputation #nonparametric #semiparametric

A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues

Mohamed Abdelhack, Jiaming Zhang, Sandhya Tripathi et al.

https://openreview.net/forum?id=MRLHN4MSmA

#imputation #neuromodulation #layers

Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models

Juan Lopez Alcaraz, Nils Strodthoff

https://openreview.net/forum?id=hHiIbk7ApW

#imputation #missingness #forecasting

A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues

https://openreview.net/forum?id=MRLHN4MSmA

#imputation #neuromodulation #layers

Trajectory data, eg mobility data, is often sparse and incomplete.
To solve it, see our #newpaper: Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction in ACM Trans.on Spatial Algorithms and Systems
https://doi.acm.org?doi=3582427
Preprint: https://arxiv.org/abs/2301.04482

#data #imputation #trajectory #timeseries #spatiotemporal #ML #attention

#introduction I’m an economist studying firm dynamics, #productivity , aggregate productivity growth and measurement issues (such as #imputation) in #CensusData at the U.S. Census Bureau’s Center for Economic Studies. Misplaced Tar Heel.

https://www.biorxiv.org/content/10.1101/2022.11.28.518213v1 #lowCoverage #ngs #genomics #ukBiobank "#Imputation of low-coverage sequencing data from 150,119 UK Biobank genomes" "The release of whole genome sequencing data for 150,119 UK Biobank (UKB) samples represents an unprecedented opportunity to impute lcWGS with high accuracy. However, despite recent progress, current methods struggle to cope with the growing numbers of samples and markers in modern reference panels, resulting in unsustainable computational costs. "