Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
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Updated
May 26, 2026
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)
The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516
[ICLR 2024] Official Implementation of "Diffusion-TS: Interpretable Diffusion for General Time Series Generation"
Awesome Deep Learning for Time-Series Imputation, including an unmissable paper and tool list about applying neural networks to impute incomplete time series containing NaN missing values/data
The official code 👩💻 for - TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'
TS-ICL: a Time-Indexed Foundation Model for Time Series Forecasting & Imputation via In-Context Learning
Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 2022)
[KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"
This repository collects awesome representative papers and resources for "From Pre-training to Post-training: A Survey on Time Series Foundation Models" (TechRxiv-26).
[CIKM 2024] The official source code of MTSCI: A Conditional Diffusion Model for Consistent Imputation in Incomplete Time Series
Unified Framework for Multiple Time Series Tasks
The official PyTorch implementation of our NeurIPS'25 paper: Synthetic Series-Symbol Data Generation for Time Series Foundation Models.
[ICML 2026] Official implementation of " 🥯 TimeOmni-VL: Unified Models for Time Series Understanding and Generation"
This repository implements an automated crawling tool for topics about "data mining" papers from the arXiv preprint website.
Companion code for the MiLeTS 2026 paper "When Does Adversarial Refinement Help?" — adapting R3GAN (NeurIPS 2024) to multivariate time series imputation. A clearly-scoped negative result and open problem.
Real-time imputation of missing environmental sensor data for fault-tolerant edge computing.
[TKDD 2025] The official source code of "MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data"
Provide on-device Apple Foundation Models inference in TypeScript with streaming, structured output, and chat-style APIs for secure, local AI processing.
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