Time Series
Time series forecasting and analysis
Top Papers
MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting
Wanlin Cai, Yuxuan Liang, Xianggen Liu et al.
ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data
Chengsen Wang, Qi Qi, Jingyu Wang et al.
FreDF: Learning to Forecast in the Frequency Domain
Hao Wang, Lichen Pan, Yuan Shen et al.
HPNet: Dynamic Trajectory Forecasting with Historical Prediction Attention
Xiaolong Tang, Meina Kan, Shiguang Shan et al.
MASTER: Market-Guided Stock Transformer for Stock Price Forecasting
Tong Li, Zhaoyang Liu, Yanyan Shen et al.
Sundial: A Family of Highly Capable Time Series Foundation Models
Yong Liu, Guo Qin, Zhiyuan Shi et al.
Context is Key: A Benchmark for Forecasting with Essential Textual Information
Andrew Williams, Arjun Ashok, Étienne Marcotte et al.
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
Irina Rish, Kartik Ahuja, Mohammad Javad Darvishi Bayazi et al.
U-mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting
Xiang Ma, Xuemei Li, Lexin Fang et al.
Time Weaver: A Conditional Time Series Generation Model
Sai Shankar Narasimhan, Shubhankar Agarwal, Oguzhan Akcin et al.
Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values
Xiaodan Chen, Xiucheng Li, Bo Liu et al.
xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition
Artyom Stitsyuk, Jaesik Choi
Copula Conformal prediction for multi-step time series prediction
Sophia Sun, Rose Yu
TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
Andreas Auer, Patrick Podest, Daniel Klotz et al.
Hierarchical Classification Auxiliary Network for Time Series Forecasting
Yanru Sun, Zongxia Xie, Dongyue Chen et al.
Conditional Information Bottleneck Approach for Time Series Imputation
MinGyu Choi, Changhee Lee
WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting
Md Mahmuddun Nabi Murad, Mehmet Aktukmak, Yasin Yilmaz
Zero-shot forecasting of chaotic systems
Yuanzhao Zhang, William Gilpin
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
Maurice Kraus, Felix Divo, Devendra Singh Dhami et al.
Retrieval Augmented Time Series Forecasting
Sungwon Han, Seungeon Lee, MEEYOUNG CHA et al.
TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting
Songtao Huang, Zhen Zhao, Can Li et al.
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
Yu-Hao Huang, Chang Xu, Yueying Wu et al.
Temporal Query Network for Efficient Multivariate Time Series Forecasting
Shengsheng Lin, Haojun Chen, Haijie Wu et al.
Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting
Muyao Wang, Wenchao Chen, Bo Chen
Patch-wise Structural Loss for Time Series Forecasting
Dilfira Kudrat, Zongxia Xie, Yanru Sun et al.
This Time is Different: An Observability Perspective on Time Series Foundation Models
Ben Cohen, Emaad Khwaja, Youssef Doubli et al.
MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification
Yang Mu, Muhammad Shahzad, Xiao Xiang Zhu
Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation
HyunGi Kim, Siwon Kim, Jisoo Mok et al.
FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting
Yulong Wang, Yushuo Liu, Xiaoyi Duan et al.
Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting
Jingru Fei, Kun Yi, Wei Fan et al.
OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain
Wenzhen Yue, Yong Liu, Hao Wang et al.
Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
Luca Masserano, Abdul Fatir Ansari, Boran Han et al.
Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift
Yanru Sun, Zongxia Xie, Emadeldeen Eldele et al.
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
Jingge Xiao, Leonie Basso, Wolfgang Nejdl et al.
StreamingFlow: Streaming Occupancy Forecasting with Asynchronous Multi-modal Data Streams via Neural Ordinary Differential Equation
Yining Shi, Kun JIANG, Ke Wang et al.
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis
Jiexi Liu, Meng Cao, Songcan Chen
Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective
Xingjian Wu, Xiangfei Qiu, Hanyin Cheng et al.
In-context Time Series Predictor
Jiecheng Lu, Yan Sun, Shihao Yang
Fast and Slow Streams for Online Time Series Forecasting Without Information Leakage
Ying-yee Ava Lau, Zhiwen Shao, Dit-Yan Yeung
Understanding the Limits of Deep Tabular Methods with Temporal Shift
Haorun Cai, Han-Jia Ye
Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
Wei Chen, Yuxuan Liang
TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state
Xiaowen Ma, Zhen-Liang Ni, Shuai Xiao et al.
CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting
Haoxin Wang, Yipeng Mo, Kunlan Xiang et al.
Time-o1: Time-Series Forecasting Needs Transformed Label Alignment
Hao Wang, Licheng Pan, Zhichao Chen et al.
Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting
Wei Chen, Yuxuan Liang
FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction
Yitong Duan, Weiran Wang, Jian Li
Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting
ChengAo Shen, Wenchao Yu, Ziming Zhao et al.
TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval
Jialin Chen, Ziyu Zhao, Gaukhar Nurbek et al.
Time-IMM: A Dataset and Benchmark for Irregular Multimodal Multivariate Time Series
Ching Chang, Jeehyun Hwang, Yidan Shi et al.
Kernel-based Optimally Weighted Conformal Time-Series Prediction
Jonghyeok Lee, Chen Xu, Yao Xie
DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis
YongKyung Oh, Dong-Young Lim, Sungil Kim
Enhancing Masked Time-Series Modeling via Dropping Patches
Tianyu Qiu, Yi Xie, Hao Niu et al.
How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning
Haotian Gao, Zheng Dong, Jiawei Yong et al.
SMTPD: A New Benchmark for Temporal Prediction of Social Media Popularity
Yijie Xu, Bolun Zheng, Wei Zhu et al.
Diffusion Transformers for Tabular Data Time Series Generation
Fabrizio Garuti, Enver Sangineto, Simone Luetto et al.
CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling
Beibu Li, Qichao Shentu, Yang Shu et al.
MIRA: Medical Time Series Foundation Model for Real-World Health Data
Hao Li, Bowen Deng, Chang Xu et al.
AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting
Abdelhakim Benechehab, Vasilii Feofanov, Giuseppe Paolo et al.
VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting
Junhyeok Kang, Yooju Shin, Jae-Gil Lee
Auto-Regressive Moving Diffusion Models for Time Series Forecasting
Jiaxin Gao, Qinglong Cao, Yuntian Chen
Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time-Series Forecasting Based on Biological ODEs
Christian Klötergens, Vijaya Krishna Yalavarthi, Randolf Scholz et al.
FIC-TSC: Learning Time Series Classification with Fisher Information Constraint
Xiwen Chen, Wenhui Zhu, Peijie Qiu et al.
CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations
Haotian Si, Changhua Pei, Jianhui LI et al.
Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting
Reza Nematirad, Anil Pahwa, Balasubramaniam Natarajan
Neural Conformal Control for Time Series Forecasting
Ruipu Li, Alexander Rodríguez
Efficiently Enhancing Long-term Series Forecasting via Ultra-long Lookback Windows
Suxin Tong, Jingling Yuan
WaveletMixer: A Multi-Resolution Wavelets Based MLP-Mixer for Multivariate Long-Term Time Series Forecasting
Zichi Zhang, Tuan Dung Pham, Yimeng An et al.
Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences
Xiwen Chen, Peijie Qiu, Wenhui Zhu et al.
CoMRes: Semi-Supervised Time Series Forecasting Utilizing Consensus Promotion of Multi-Resolution
Yunju Cho, Jay-Yoon Lee
KooNPro: A Variance-Aware Koopman Probabilistic Model Enhanced by Neural Process for Time Series Forecasting
Ronghua Zheng, Hanru Bai, Weiyang Ding
CGS-Mask: Making Time Series Predictions Intuitive for All
Feng Lu, Wei Li, Yifei Sun et al.
Improving Time Series Forecasting via Instance-aware Post-hoc Revision
Zhiding Liu, Mingyue Cheng, Guanhao Zhao et al.
Going Beyond Static: Understanding Shifts with Time-Series Attribution
Jiashuo Liu, Nabeel Seedat, Peng Cui et al.
Learning under Temporal Label Noise
Sujay Nagaraj, Walter Gerych, Sana Tonekaboni et al.
Constrained Posterior Sampling: Time Series Generation with Hard Constraints
Sai Shankar Narasimhan, Shubhankar Agarwal, Litu Rout et al.
Functional Virtual Adversarial Training for Semi-Supervised Time Series Classification
Qingyi Pan, Yicheng Li
Revisiting Attention for Multivariate Time Series Forecasting
Haixiang Wu
Unified Transferability Metrics for Time Series Foundation Models
Weiyang Zhang, Xinyang Chen, Xiucheng Li et al.
Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting
Peiwang Tang, Weitai Zhang
TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting
Jaebin Lee, Hankook Lee
Contimask: Explaining Irregular Time Series via Perturbations in Continuous Time
Max Moebus, Björn Braun, Christian Holz
Mixture of Online and Offline Experts for Non-Stationary Time Series
Zhilin Zhao, Longbing Cao, Yuanyu Wan
Conformal Prediction for Time-series Forecasting with Change Points
Sophia Sun, Rose Yu
STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-driven Time Series Analysis
Zhe Zhao, Pengkun Wang, Haibin Wen et al.
Unlocking the Power of LSTM for Long Term Time Series Forecasting
Yaxuan Kong, Zepu Wang, Yuqi Nie et al.
DBLoss: Decomposition-based Loss Function for Time Series Forecasting
Xiangfei Qiu, Xingjian Wu, Hanyin Cheng et al.
SeasonBench-EA: A Multi-Source Benchmark for Seasonal Prediction and Numerical Model Post-Processing in East Asia
Mengxuan Chen, Li, Zou Ziheng et al.
Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting
Tianyi Yin, Jingwei Wang, Yunlong Ma et al.
SEMPO: Lightweight Foundation Models for Time Series Forecasting
Hui He, Kun Yi, Yuanchi Ma et al.
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
Ege Onur Taga, Muhammed Emrullah Ildiz, Samet Oymak
Modeling Latent Non-Linear Dynamical System over Time Series
Ren Fujiwara, Yasuko Matsubara, Yasushi Sakurai
Met2Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems
Shaohan Li, Hao Yang, Min Chen et al.
ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities
Ezra Karger, Houtan Bastani, Chen Yueh-Han et al.
TimeInf: Time Series Data Contribution via Influence Functions
Yizi Zhang, Jingyan Shen, Xiaoxue Xiong et al.
Multi-modal Knowledge Distillation-based Human Trajectory Forecasting
Jaewoo Jeong, Seohee Lee, Daehee Park et al.
An Analysis of Linear Time Series Forecasting Models
William Toner, Luke Darlow
Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting
Lingxiao Cao, Bin Wang, Guiyuan Jiang et al.
Online Time Series Forecasting with Theoretical Guarantees
Zijian Li, Changze Zhou, Minghao Fu et al.
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling
Guoqi Yu, Jing Zou, Xiaowei Hu et al.
Timer-XL: Long-Context Transformers for Unified Time Series Forecasting
Yong Liu, Guo Qin, Xiangdong Huang et al.