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Transformed Distribution Matching for Missing Value Imputation

Transformed Distribution Matching for Missing Value Imputation

20 February 2023
He Zhao
Ke Sun
Amir Dezfouli
Edwin V. Bonilla
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Papers citing "Transformed Distribution Matching for Missing Value Imputation"

14 / 14 papers shown
Title
Robust Simulation-Based Inference under Missing Data via Neural Processes
Yogesh Verma
Ayush Bharti
Vikas K. Garg
63
0
0
03 Mar 2025
On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing
J. T. Wang
Kai Wang
Y. Zhang
Wenjie Zhang
Xiwei Xu
Xuemin Lin
29
1
0
04 Jan 2025
mDAE : modified Denoising AutoEncoder for missing data imputation
mDAE : modified Denoising AutoEncoder for missing data imputation
Mariette Dupuy
Marie Chavent
Remi Dubois
65
1
0
19 Nov 2024
Rethinking the Diffusion Models for Numerical Tabular Data Imputation
  from the Perspective of Wasserstein Gradient Flow
Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient Flow
Zhichao Chen
Haoxuan Li
Fangyikang Wang
Odin Zhang
Hu Xu
Xiaoyu Jiang
Zhihuan Song
Eric H. Wang
DiffM
40
1
0
22 Jun 2024
LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models
LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models
Xiaohao Yang
He Zhao
Dinh Q. Phung
Wray L. Buntine
Lan Du
ALM
ELM
66
2
0
13 Jun 2024
Unleashing the Potential of Diffusion Models for Incomplete Data
  Imputation
Unleashing the Potential of Diffusion Models for Incomplete Data Imputation
Hengrui Zhang
Liancheng Fang
Philip S. Yu
24
5
0
31 May 2024
Masked Language Modeling Becomes Conditional Density Estimation for
  Tabular Data Synthesis
Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis
SeungHwan An
Gyeongdong Woo
Jaesung Lim
ChangHyun Kim
Sungchul Hong
Jong-June Jeon
55
1
0
31 May 2024
Scalable Numerical Embeddings for Multivariate Time Series: Enhancing
  Healthcare Data Representation Learning
Scalable Numerical Embeddings for Multivariate Time Series: Enhancing Healthcare Data Representation Learning
Chun-Kai Huang
Yi-Hsien Hsieh
Ta-Jung Chien
Li-Cheng Chien
Shao-Hua Sun
T. Su
J. Kao
Che Lin
AI4TS
32
0
0
26 May 2024
Higher-order Spatio-temporal Physics-incorporated Graph Neural Network
  for Multivariate Time Series Imputation
Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation
Guojun Liang
Prayag Tiwari
Slawomir Nowaczyk
Stefan Byttner
AI4TS
AI4CE
49
3
0
16 May 2024
A parameter-free clustering algorithm for missing datasets
A parameter-free clustering algorithm for missing datasets
Qi Li
Xianjun Zeng
Shuliang Wang
Wenhao Zhu
Shijie Ruan
Zhimeng Yuan
17
0
0
08 Apr 2024
Optimal Transport for Structure Learning Under Missing Data
Optimal Transport for Structure Learning Under Missing Data
Vy Vo
He Zhao
Trung Le
Edwin V. Bonilla
Dinh Q. Phung
CML
43
3
0
23 Feb 2024
Learning Optimal Transport Between two Empirical Distributions with
  Normalizing Flows
Learning Optimal Transport Between two Empirical Distributions with Normalizing Flows
Florentin Coeurdoux
N. Dobigeon
P. Chainais
OOD
OT
24
7
0
04 Jul 2022
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms
Trent Kyono
Yao Zhang
Alexis Bellot
M. Schaar
CML
47
61
0
04 Nov 2021
MissForest - nonparametric missing value imputation for mixed-type data
MissForest - nonparametric missing value imputation for mixed-type data
D. Stekhoven
Peter Buhlmann
157
4,214
0
04 May 2011
1