"missing data imputation" Papers
11 papers found
Conference
Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales
Xinyu Yang, Yu Sun, Xinyang Chen et al.
AAAI 2025paperarXiv:2412.18535
5
citations
Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning
Liuqing Chen, Shuhong Xiao, Shixian Ding et al.
AAAI 2025paperarXiv:2502.06134
1
citations
Inverse Methods for Missing Data Imputation
Hao Wang, zhengnan li, Zhichao Chen et al.
NEURIPS 2025
Time-IMM: A Dataset and Benchmark for Irregular Multimodal Multivariate Time Series
Ching Chang, Jeehyun Hwang, Yidan Shi et al.
NEURIPS 2025arXiv:2506.10412
6
citations
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling
Ivan Marisca, Cesare Alippi, Filippo Maria Bianchi
ICML 2024oralarXiv:2402.10634
20
citations
Minimizing $f$-Divergences by Interpolating Velocity Fields
Song Liu, Jiahao Yu, Jack Simons et al.
ICML 2024arXiv:2305.15577
6
citations
MS-TIP: Imputation Aware Pedestrian Trajectory Prediction
Pranav Singh Chib, Achintya Nath, Paritosh Kabra et al.
ICML 2024
Optimal Transport for Structure Learning Under Missing Data
Vy Vo, He Zhao, Trung Le et al.
ICML 2024arXiv:2402.15255
6
citations
Preventing Model Collapse in Gaussian Process Latent Variable Models
Ying Li, Zhidi Lin, Feng Yin et al.
ICML 2024arXiv:2404.01697
4
citations
Random features models: a way to study the success of naive imputation
Alexis Ayme, Claire Boyer, Aymeric Dieuleveut et al.
ICML 2024arXiv:2402.03839
7
citations
Regression Learning with Limited Observations of Multivariate Outcomes and Features
Yifan Sun, Grace Yi
ICML 2024