Time Series

Follow this field Ask about this field

Recent momentum

emerging

0 papers in the last 28 days · 0.0% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Weekly history

Recent digests

What was published in this field, kept on the site without email delivery.

Period ending 2026-09-21

21 new papers

A weekly snapshot of new work published in Time Series.

Period ending 2026-09-14

19 new papers

A weekly snapshot of new work published in Time Series.

Period ending 2026-09-07

10 new papers

A weekly snapshot of new work published in Time Series.

Inside this field

Focused directions

Focused topic

Time Series

Within Time Series

256 papersExplore

Focused topic

Time Series Foundation Models

Within Time Series

102 papersExplore

Focused topic

Time-Series Classification

Within Time Series

86 papersExplore

Focused topic

Long-Horizon Forecasting

Within Time Series

76 papersExplore

Focused topic

Multivariate Forecasting

Within Time Series

71 papersExplore

Focused topic

Multivariate Time Series Forecasting

Within Time Series

62 papersExplore

Focused topic

Load Forecasting

Within Time Series

55 papersExplore

Focused topic

Synthetic Time Series

Within Time Series

55 papersExplore

Focused topic

Llm-Based Forecasting Methods

Within Time Series

32 papersExplore

Focused topic

Zero-Shot Forecasting

Within Time Series

25 papersExplore

654 papers

Latest in Time Series

Browse all topics →

TiWeaver: Unified Temporal Dynamics Modeling via Contextual Patching
Jun 2, 2026Zhe Li, Jindong Tian, Hao Miao +3Multivariate Time Series Forecasting Temporal Dynamics
Bridging the Last Mile of Time Series Forecasting with LLM Agents
Jun 1, 2026Yuhua Liao, Zetian Wang, Qiangqiang Nie +1Llm-Based Forecasting Methods Long-Horizon Forecasting
VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting
Jun 1, 2026Xudong Zhang, Jierui Lei, Jiacheng Li +3Multivariate Time Series Forecasting Latent Bridge Matching
ProbRes: Volatility Learning for Probabilistic Time-Series Forecasting
Jun 1, 2026Tingting Wang, Yunyi Zhang, Benyou WangMultivariate Forecasting Heteroskedasticity
Anomalies in Multivariate Time Series Benchmarks Are Mostly Univariate
Jun 1, 2026Marc Pinet, Julien Cumin, Samuel Berlemont +1Time-Series Anomaly Detection Anomaly
Why Do Time Series Models Need Long Context Windows?
Jun 1, 2026Luca Butera, Giovanni De Felice, Andrea Cini +1Time Series Local Windows
E4GEN: Event-level Explainable Extreme-Enhanced Time-series Generation
Jun 1, 2026Lin Jiang, Dahai Yu, Ximiao Li +1Synthetic Time Series Discrete Diffusion Model
Estimating Mutual Information between Time Series and Temporal Event Sequences Across Diverse Analysis Tasks
Jun 1, 2026Haoji Hu, Huaqing Mao, Yijun Lin +4Temporal Dependence Time Series
TimeSage-MT: A Multi-Turn Benchmark for Evaluating Agentic Time Series Reasoning
May 31, 2026Yaxuan Kong, Qingren Yao, Yuqi Nie +7Agentic Benchmarks Time Series
FreqLite: A Lightweight Frequency-Decomposed Linear Model with Adaptive Reversible Normalization for Robust Long-Term Time-Series Forecasting
May 31, 2026Mirza Samad Ahmed Baig, Syeda Anshrah GillaniMultivariate Forecasting Non-Stationarity
Time Series as Language: A Universal Tokenizer for General-Purpose Time Series Foundation Models
May 31, 2026Yunhao Zhang, Ruiying Qi, Jiale Zheng +3Time Series Foundation Models Time Series
FAiT: Frequency-Aware Inverted Transformer for Multivariate Time Series Forecasting
May 31, 2026Peng He, Yao Liu, Yanglei Gan +3Multivariate Time Series Forecasting Time Series
ChronosAD: Leveraging Time Series Foundation Models for Accurate Anomaly Detection
May 31, 2026Uzair Khan, Luigi Capogrosso, Francesco Biondani +4Time-Series Anomaly Detection Anomaly Detection
Feature to Dynamics: Feature-space to Autoregression strategy for Zero-shot Time Series Forecasting
May 31, 2026Yifan Wu, Junjie Wu, Kai Wu +2Zero-Shot Forecasting Zero-Shot Inference
GPU Forecasters: Language Models as Selective Surrogates for Kernel Runtime Optimization
May 29, 2026Zaid Khan, Justin Chih-Yao Chen, Jaemin Cho +2Graphics Processing Unit Kernels LLM Inference Efficiency
AR Forcing: Towards Long-Horizon Robot Navigation World Model
May 29, 2026Yifei Yang, Zehua Fan, Huan Li +9Autoregressive Model Long-Horizon Planning
Probabilistic Precipitation Nowcasting with Rectified Flow Transformers
May 29, 2026Johannes Schusterbauer, Jannik Wiese, Nick Stracke +2Precipitation Rectified Flow
Learning Hyperspherical Time-Frequency Representations for Time-Series Out-of-Distribution Detection
May 29, 2026Willian T. Lunardi, Samridha Shrestha, Martin AndreoniOut-Of-Distribution Detection Time-Frequency
Generalizing Multi-Scale Time-Series Modeling with a Single Operator
May 29, 2026Cheonwoo Lee, Dooho Lee, Doyun Choi +1Time Series Multiscale
SRT: Super-Resolution for Time Series via Disentangled Rectified Flow
May 29, 2026Jufang Duan, Shenglong Xiao, Yuren ZhangSuper-Resolution Framework Time Series
STEP: Learning STructured Embeddings for Progressive Time Series
May 29, 2026Lucas Thil, Jesse Read, Rim Kaddah +1Time Series Next Activity Prediction
GlucoFM: A Dual-Stream Foundation Model for Continuous Glucose Monitoring
May 29, 2026Zechen Li, Keerthana Natarajan, Weizhi Zhang +11Continuous Glucose Monitoring Hypoglycemia Classification
ForecastCompass: Guiding Agentic Forecasting with Adaptive Factor Memory
May 29, 2026Yurui Chang, Yongkang Du, Yuanpu Cao +2Llm-Based Forecasting Methods Agent Memory
IRIS: time-structured manifold projections
May 29, 2026Brian Ondov, Chia-Hsuan Chang, Weipeng Zhou +6Single-Cell Rna Sequencing Time-Series Classification
Closed-Loop Object-Informed Control for Non-Prehensile Robot Manipulation
May 29, 2026Nikola Raicevic, Hyomuk Kim, Shahid Mulla +5Model Predictive Path Integral Robot Planning
Bridging the Gap Between Natural Language and Market Dynamics via High-Dimensional Representation Learning
May 28, 2026Yujin Jeong, Noelle Jung, Brian Y. C. LeungFinancial Sentiment Analysis Multivariate Forecasting
Scientific Machine Learning for Engine Health Management and Remaining Useful Life Prediction
May 28, 2026Jostein Barry-Straume, Changmin Son, Adrian Sandu +4Gas Turbine Combustor Predictive Maintenance
Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting
May 28, 2026Amirhossein Ghaffari, Saeid Sheikhi, Ekaterina GilmanTemporal Graph Neural Networks Accurate Traffic Forecasting
Leave a Window Out: Modifying the Jackknife for Predictive Inference in Time Series
May 28, 2026Hanyang Jiang, Rina Foygel Barber, Ashwin Pananjady +1Conformal Prediction Multivariate Forecasting
Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts
May 28, 2026Fanny Lehmann, Firat Ozdemir, Yun Cheng +4Artificial Intelligence Weather Models Long-Horizon Forecasting
Beyond MSE: Improving Precipitation Nowcasting with Multi-Quantile Regression
May 28, 2026Gijs van Nieuwkoop, Siamak MehrkanoonPrecipitation Quantile Regression
From Short Histories to Long Futures: Horizon-Aware Graph Neural Networks for Long Horizon Forecasting
May 28, 2026Zesheng Liu, Maryam RahnemoonfarLong-Horizon Forecasting Emulators
Rethinking Post-Training Recipes for Multimodal Time-Series Forecasting
May 28, 2026Haoxin Liu, Yichen Zhou, Rajat Sen +2Zero-Shot Forecasting Time Series Foundation Models
Applications of temporal graph learning for predicting the dynamics of biological systems
May 27, 2026Manuel Dileo, Andrea SottorivaTemporal Graphs Temporal Dynamics
Online Irregular Multivariate Time Series Forecasting via Uncertainty-Driven Dual-Expert Calibration
May 27, 2026Haonan Wen, Hanyang Chen, Songhe FengMultivariate Time Series Forecasting Time Series
Stabilizing distribution-free probabilistic forecasts
May 27, 2026Jente Van Belle, Honglin Wen, Wouter Verbeke +1Multivariate Forecasting Long-Horizon Forecasting
Universal Time Series Generation with Neural Controlled Differential Equations
May 27, 2026Torben Berndt, Elyes Farjallah, Leif Seute +3Synthetic Time Series Generative Models
Detecting Diffusion-Generated Time Series Under Generator Shift
May 27, 2026Zhi Wen Soi, Aditya Shankar, Gert Lek +4Synthetic Time Series Generators
Inpainting-Style Conditional Diffusion for Multivariable Time Series Forecasting
May 27, 2026Kourosh Kiani, S. M. MuyeenEnergy Forecasting Multivariate Time Series Forecasting
Identifying Explicit Parsimonious Piece-wise Polynomial Relationships in Industrial time-series: Application to manipulator robots
May 27, 2026Mazen Alamir, Sacha ClavelSystem Identification Robotic Arms
QuITE: Query-Based Irregular Time Series Embedding
May 27, 2026Junghoon LimTime Series Temporal Dynamics
Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector
May 27, 2026Junhao Wei, Yanxiao Li, Bidong Chen +9Time-Series Anomaly Detection Anomaly Detection
FedEHR-Gen: Federated Synthetic Time-Series EHR Generation via Latent Space Alignment and Distribution-Aware Aggregation
May 27, 2026Jun Bai, Ziyang Song, Yue LiElectronic Health Records Synthetic Time Series
Falcon-X: A Time Series Foundation Model for Heterogeneous Multivariate Modeling
May 26, 2026Yiding Liu, Yifan Hu, Hongjie Xia +5Multivariate Time Series Forecasting Time Series Foundation Models
Federated Learning for Multivariate Time Series Anomaly Detection in Industrial Automation
May 26, 2026Khayyam Nosrati, Martin Uray, Saverio Messineo +2Time-Series Anomaly Detection Federated Learning
High-Quality Synthetic Financial Time-Series using a GAN-Diffusion Framework
May 26, 2026Giuseppe Masi, Andrea Coletta, Novella BartoliniSynthetic Time Series Synthetic Data
Triangular-Reference Schrödinger Bridges for Time Series Generation
May 26, 2026Gabriele BocchiSchrödinger Bridges Synthetic Time Series
Unicorn: Scaling High-Dimensional Time Series Forecasting via Universal Correlation Modeling
May 26, 2026Haochen Yuan, Yichen Song, Yunbo Wang +1Multivariate Forecasting Time Series
Time Series Causal Discovery via Context-Conditioned and Causality-Augmented Pretraining
May 26, 2026Biao Ouyang, Tengxue Zhang, Zhihao Zhuang +3Causal Foundation Models Temporal Dependence
APEX: Amplitude Anchors and Phase Priors for Target-Scarce Higher-Frequency Wave Prediction
May 26, 2026Yifan Sun, Lei Cheng, Sijie Chen +3High-Frequency Textures Neural Operators
Completion vs Optimality: Policy Gradient in Long-Horizon Cumulative-Damage Problems
May 26, 2026Wolfgang Maass, Sabine JanzenExponential Horizon Dependence Policy Gradient
Distribution-Aware Conformal Prediction: A Framework for generating efficient prediction intervals for time series
May 26, 2026Daniel Schweizer, Peter Kuhn, Jayant Sharma +3Conformal Prediction Quantile Regression
Beyond Holistic Models: Systematic Component-level Benchmarking of Deep Multivariate Time-Series Forecasting
May 26, 2026Shuang Liang, Chaochuan Hou, Xu Yao +4Multivariate Time Series Forecasting Text Corpora
TriHead-GAN: A Generative Adversarial Network with Triple-Head Discriminator for Carbon Emission Time Series Generation
May 26, 2026Zesen Wang, Lijuan Lan, Yonggang Li +1Synthetic Time Series Carbon Emissions
FM-fMRI: Event Conditioned Flow Matching for Rest-to-Task fMRI Time-Series Synthesis
May 26, 2026Peiyu Duan, Jiyao Wang, Nicha C. Dvornek +4Brain Magnetic Resonance Imaging Synthetic Time Series
Semigroup Consistency as a Diagnostic for Learned Physics Simulators
May 25, 2026Lennon J. ShikhmanPhysical Dynamics Physics Simulation
On the Role of Inductive Bias in Time-Series Pretraining: A Case Study in Learning Generalizable Representations for Clinical Time Series
May 25, 2026Sharmita Dey, Diego Paez-GranadosTime-Series Classification Model Pretraining
STaT: Resolving Shape Distortion in Non-Stationary Time Series via Tri-Modal Synergy
May 25, 2026Hui Cheng, Jinsheng Guo, Zhenhao Weng +2Multivariate Time Series Forecasting Non-Stationarity
Bridging Classification and Reconstruction: Cooperative Time Series Anomaly Detection
May 25, 2026Qideng Tang, Dai Chaofan, Wubin Ma +5Time-Series Anomaly Detection Anomaly Detection
Autoregression-Free Neural Operators for Time-Dependent PDEs
May 25, 2026Jiaquan Zhang, Caiyan Qin, Haoyu Bian +7Neural Operators Partial Differential Equations

Jun 2, 2026 · cs.LGJ/K move · Enter open · S save

TiWeaver: Unified Temporal Dynamics Modeling via Contextual Patching

Zhe Li, Jindong Tian, Hao Miao, Zhi Lei+2

Multivariate time series forecasting plays a critical role in real-world applications, including weather prediction, stock analysis, and health monitoring. Due to the diversity of data sources, time series exhibit diverse temporal dynamics, often accompanied by various irregularities such as missing values and non-uniform sampling frequencies. Such irregularities lead to complex and asynchronous temporal dependencies across channels. Thus, a single model with a fixed patching scheme often fails to adapt well to diverse multivariate time series, hindering accurate forecasting. In this paper, we propose TiWeaver, a unified framework designed to handle temporal dynamics and fine-grained inter-channel dependencies adaptively. Specifically, we introduce a Graph-Guided Adaptive Tokenizer (G

^2

AT) that divides time series into high contextually coherent patches by jointly considering temporal density and representation consistency. In addition, we propose a Fine-grained Asynchronous Dependency Extractor (FADE), which is designed to model fine-grained asynchronous inter-channel dependencies while incorporating long-term historical dependencies. We evaluate TiWeaver on 12 real-world time series datasets, where it achieves state-of-the-art performance, outperforming existing methods up to 25%. These results demonstrate its robustness and effectiveness across diverse domains and data characteristics.

Multivariate Time Series Forecasting Temporal Dynamics Tokenization

Open paper Ask about it PDF