Multivariate Time-Series

Ask about this topic

Momentum

4 papers in the last four weeks, down 20% on the four weeks before. 0.0% of all new papers.

Jul 6Week of Sep 21
View on map

Latest papers 62

All topics
CardsList

  1. Scalable, Transferable Meta-network for Data Selection Requires a Different Loss (and Why the Obvious Choice is Problematic)

    Oct 1, 2026Zilin Du, Bowen Yang, Boyang Albert LiNatural Language DatasetsTraining Data

    College of Computing and Data Science Nanyang Technological University Singapore

  2. ProtoFlow: Prototype-Guided Flow Matching for Multivariate Time Series Forecasting

    Oct 1, 2026Shibo Feng, Wanjin Feng, Yang Qiu +3Multivariate Time Series ForecastingVector-Quantized Variational Autoencoder

    Nanyang Technological University · Tsinghua University · Shanghai Jiao Tong University

  3. Domain Generalization under Sampling Pattern Shifts in Irregular Time Series

    Sep 27, 2026Changhun Kim, Joohyung Lee, Kwanhyung Lee +3Multivariate Time-SeriesTime Series

    University of Wisconsin–Madison · AITRICS · KAIST

  4. Spatiotemporal Kronecker Covariance Neural Networks

    Sep 21, 2026Andrea Cavallo, Athanasios Georgoutsos, Elvin IsufiSpatio-Temporal ForecastingSpatiotemporal

    Delft University of Technology, Delft, Netherlands

  5. RDDMPI: Residual Denoising Diffusion Model for Probabilistic Multivariate Time Series Imputation

    Sep 10, 2026Ramiro Valdes Jara, David Chapman, Adam MeyersImputationResidual Conditional Diffusion Model

    Department of Industrial and Systems Engineering, University of Miami, United States of America · Department of Computer Science, University of Miami, United States of America

  6. RATL: Learning from Retrieved Residuals for Robust Multivariate Time-Series Forecasting

    Sep 3, 2026Yuchen He, Yueyang Cang, Zhiyuan Ning +2Residual LearningMultivariate Time-Series

    Department of Automation, Tsinghua University · State Key Laboratory of Hydroscience and Engineering, Tsinghua University

  7. JAPE: Joint Anomaly Prediction and Intrinsic Explanation in Multivariate Time Series

    Aug 12, 2026Yian Wei, Yuanyuan Yao, Lu Chen +2Time-Series Anomaly DetectionInterpretable Anomaly Detection

    Zhejiang University · RMIT University · Aalborg University

  8. GARLIC: Graph Attention-based Relational Learning of Multivariate Time Series in Intensive Care

    Aug 11, 2026Ruirui Wang, Yanke Li, Manuel Günther +1Intensive Care UnitMultivariate Time-Series

    Department of Informatics University of Zürich · SCAI Lab, D-HEST ETH Zürich & SPF

  9. An Explainable GNN Framework for Component-Level Anomaly Diagnosis

    Aug 10, 2026Sena Ozgunay, Louise Trav{é}-Massuy{è}s, Jean-Michel Loubes +1Interpretable Anomaly DetectionGraph Neural Networks

    Comue de Toulouse, LAAS-DISCO, IMT · LAAS-CNRS, Université de Toulouse, France · Comue de Toulouse, LAAS-DISCO +4

  10. Decoupling Perception from Description: Computation-Grounded Representation Alignment between Multivariate Time Series and Language

    Aug 5, 2026Xinran Feng, Yi Xie, Chao Zhang +4Multivariate Time-SeriesAutomatic Labelling

    Thrust of Financial Technology, The Hong Kong University of Science and Technology (Guangzhou) · Technical University of Munich · Heilbronn Data Science Center, Munich Data Science Institute +1

  11. GLAIM: Learning Global and Local Adaptive Inter-Variable Dependency for Multivariate Time Series Imputation

    Aug 3, 2026Mingyang Wang, Rongwen Li, Xiao Wang +1ImputationMultivariate Time-Series

    College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, China

  12. TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion

    Jul 31, 2026Yu Sun, Yuan Chang, Xiaohou Shi +1Multivariate Time Series ForecastingRetrieval-Augmented Forecasting

    Beijing University of Posts and Telecommunications Beijing, China · China Telecom Research Institute Beijing, China

  13. Causal Discovery with Inverted Self-attention for Multivariate Time Series

    Jul 30, 2026Yusen Liu, Yong Wang, Yifan Yin +3Causal Discovery MethodsMultivariate Time-Series

    School of Computer Science, University of Technology Sydney, Sydney, Australia · TianFu YongXing Laboratory, Chengdu, China · Faculty of Data Science, City University of Macau, Macau, China +1

  14. Enhancing Irregular Time Series Forecasting with Continuous-Time Modeling Framework

    Jul 30, 2026Tianen Shen, Zhengyu Li, Yutong Li +4Multivariate Time-SeriesTime Series

  15. Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems

    Jul 25, 2026Youngseok Hwang, Joonsung Kwon, Geonwoo Lee +1Generalist Graph Anomaly DetectionCyber-Physical System

    Graduate School of Data Science, Seoul National University, Seoul, South Korea.

  16. Causal Discovery on Irregular Time Series

    Jul 20, 2026Martim Penim, Ricardo Ribeiro Pereira, Jacopo Bono +3Causal Discovery MethodsCausal Graph

    1Feedzai, Portugal · 3DCC, Faculdade de Ciêncidas da Universidade do Porto, Portugal · 2Instituto Superior Técnico, Universidade de Lisboa, Portugal +1

  17. TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series

    Jul 20, 2026Gabor Szucs, Samuel Jacsev, Marcell Nemeth +2Class-Incremental LearningLabel Propagation

    Department of Telecommunications and Artificial Intelligence, Budapest University of Technology and Economics, Budapest, Hungary. · Department of Information Engineering, University of Padua, Padua, Italy.

  18. SurvCF(t): Counterfactual Explanations for Survival Analysis in Predictive Maintenance Multivariate Time Series Data

    Jul 18, 2026Zara Karazian, Panagiotis Papapetrou, Sindri Magnússon +2Counterfactual ExplanationSurvival Analysis

    Department of Computer and Systems Sciences (DSV) Stockholm University Stockholm, Sweden · Department of Electrical Engineering (ISY) Linköping University Linköping, Sweden

  19. HyBDM: Multi-Scale Hybrid Experts for Time Series Forecasting with Bidirectional Dependency Modeling

    Jul 18, 2026Wenqiang Ma, Chen Cheng, Xue Cheng +1Multivariate Time Series ForecastingMultivariate Time-Series

    Soul of Harlequin Lab

  20. MIDiff: Tackling Sparsity and Imbalance in Mobile Usage Generation via Multivariate-Imaging Diffusion

    Jul 15, 2026Yilai Liu, Shiyuan Zhang, Hongyang DuDiffusion ModelsGenerative Models

    Department of Electrical and Computer Engineering, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China

  21. VAIOM: Continuous-Input, Discrete-Output Decoder-Only Financial Sequence Modeling

    Jul 15, 2026Yiming Ma, Xinyu ChenVolatilityAutoregressive Model

  22. Multi-Scale Convolution with Optimal Transport Attention Effect on Multivariate Time Series

    Jul 12, 2026HaoChong Fu, Jian XuMultivariate Time-SeriesMulti-Scale Convolution

    Institute of Collaborative Innovation · University of Macau · Macau, China +2

  23. Hierarchical Self-Supervised Representation Learning Framework for Multivariate Time Series Grounded in ECG Analysis

    Jul 1, 2026Siwon KimVideo Joint Embedding Predictive ArchitectureMultivariate Time-Series

    Research Institute of Basic Sciences, Seoul National University, Seoul, Korea

  24. Anomaly Detection for Sparse and Irregular Multivariate Time Series with Latent SDEs

    Jun 17, 2026Martin Uray, Dominik Geng, Florian Graf +2Time-Series Anomaly DetectionMultivariate Time-Series

    Josef Ressel Centre for Intelligent and Secure Industrial Automation, University of Applied Sciences, Salzburg, Austria · University of Salzburg, Austria

  25. Phys-JEPA: Physics-Informed Latent World Models for Multivariate Time-Series Forecasting

    Jun 15, 2026Weizhi Nie, Weichao Liu, Honglin Guo +1Multivariate Time Series ForecastingJoint-Embedding Predictive Architectures

    Tianjin University

  26. A Stationarity-and-Coupling Criterion for Training-Free Time-Lagged Spectral Embeddings of Multivariate Time Series

    Jun 11, 2026Siddharth Pal, Viktoria RojkovaMultivariate Time-SeriesStationarity

  27. CRAFTIIF: Cross-Resolution Analytic Four-Type Interpretable Isolation Forest for Multivariate Time Series Anomaly Detection

    Jun 11, 2026William SmitsTime-Series Anomaly DetectionMultivariate Time-Series

    Avathon, Austin, TX, USA

  28. Multi-Rate Mixture of Experts for Accelerating Liquid Neural Network Training

    Jun 10, 2026Shilong Zong, Almuatazbellah Boker, Hoda EldardiryMultivariate Time-SeriesTemporal Attention

    Department of Computer Science, Virginia Tech Blacksburg, VA 24061 USA · Department of Electrical and Computer Engineering, Virginia Tech Blacksburg, VA 24061 USA

  29. LakeFM: Toward a Foundation Model for Aquatic Ecosystems Using Irregular Multivariate Multi-depth Time Series Data

    Jun 9, 2026Abhilash Neog, Sepideh Fatemi, Medha Sawhney +9Time Series Foundation ModelsMultivariate Time-Series

    Virginia Tech Blacksburg, VA, USA · Grand Valley State University Muskegon, MI, USA · University of Wisconsin - Madison Madison, WI, USA +2

  30. Structured Adaptive Tensor Prediction for Streaming Data

    Jun 8, 2026Zhen Qin, Yang ChenMultivariate Time-SeriesAutoregressive Model

    Michigan Institute for Computational Discovery and Engineering, Department of Statistics, Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109 USA · Department of Statistics, University of Michigan, Ann Arbor, MI 48109 USA

  31. PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data

    Jun 4, 2026Ziwen Kan, Wugeng Zheng, Tianlong Chen +1ImputationMissing Modalities

    Department of Computer Science, University of Central Florida · Department of Computer Science, University of North Carolina at Chapel Hill

  32. Combining Statistical Features and Deep Encodings for Rehearsal-Based Class-Incremental Time Series Classification

    Jun 2, 2026Pablo García-Santaclara, Bruno Fernández-Castro, Rebeca Pilar Díaz-RedondoTime-Series ClassificationClass-Incremental Learning

    atlanTTic – ICLAB, Universidade de Vigo, Vigo 36310, Spain · Centro Tecnolóxico de Telecomunicacións de Galicia (GRADIANT), Vigo 36214, Spain

  33. Anomalies in Multivariate Time Series Benchmarks Are Mostly Univariate

    Jun 1, 2026Marc Pinet, Julien Cumin, Samuel Berlemont +1Time-Series Anomaly DetectionMultivariate Time-Series

    Orange Research, Meylan, France · Univ. Grenoble Alpes, CNRS, Grenoble INP, LIG, 38000 Grenoble, France

  34. QuITE: Query-Based Irregular Time Series Embedding

    May 27, 2026Junghoon LimTimestep EmbeddingsMultivariate Time-Series

    SK Shieldus, Seongnam, Republic of Korea

  35. 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 DetectionMultivariate Time-Series

    Faculty of Applied Sciences, Macao Polytechnic University, Macao SAR, China · 2Macao Polytechnic University, Macao SAR, China

  36. Contrast to Detect: Dynamic Graph Contrastive Regularization for Unsupervised Anomaly Detection in Multivariate Time Series

    May 22, 2026Yunhua Pei, Zixing Song, Jin Zheng +1Time-Series Anomaly DetectionGraph Anomaly Detection

    School of Computer Science, University of Bristol, Bristol, UK · School of Engineering Mathematics, University of Bristol, Bristol, UK

  37. Valid and Expressive Copulas for Irregular Multivariate Time Series

    May 22, 2026Christian Klötergens, Tom Hanika, Lars Schmidt-Thieme +1Gaussian CopulaMultivariate Time-Series

    Institute of Computer Science University of Hildesheim Hildesheim, Germany

  38. VACE: Learning Geometrically Structured Representations for Time Series Anomaly Detection

    May 22, 2026Alberto D. Cencillo, Leonardo Concepción, Isaac Triguero +1Time-Series Anomaly DetectionMultivariate Time-Series

    1Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) · Department of Computer Science and Artificial Intelligence (DECSAI), University of Granada, Granada, 18071, Spain

  39. Parametric Prior Mapping Framework for Non-stationary Probabilistic Time Series Forecasting

    May 22, 2026Jinglin Li, Jun Tan, QI Fang +1Probabilistic ForecastingMultivariate Time-Series

    School of Computer Science and Engineering, Central South University, Changsha, China.

  40. Dynamic Hypergraph Representation Learning for Multivariate Time Series without Prior Knowledge

    May 21, 2026Marco Gregnanin, Johannes De Smedt, Giorgio Gnecco +1Multivariate Time-SeriesHypergraphs

    IMT School for Advanced Studies Lucca · KU Leuven · University of Chieti-Pescara

  41. Prototype-Guided Classification Sub-Task Decoupling Framework: Enhancing Generalization and Interpretability for Multivariate Time Series

    May 21, 2026Xianhao Song, Yuang Zhang, Yuqi She +2Time-Series ClassificationMultivariate Time-Series

    East China Normal University · Shanghai Jiao Tong University

  42. CASE-NET: Deep Spatio-Temporal Representation Learning via Causal Attention and Channel Recalibration for Multivariate Time Series Classification

    May 21, 2026Fan Zhang, Yating Cui, Hua WangTime-Series ClassificationMultivariate Time-Series

    Shandong Technology and Business University · Ludong University

  43. Causal Discovery in Structural VAR Models Under Equal Noise Variance

    May 21, 2026SeyedSina Seyedi HasanAbadi, Fahimeh Arab, Erfan Nozari +1Multivariate Time-SeriesEquivalence

    Bourns College of Engineering, University of California, Riverside · University of California, San Francisco · Department of Mathematics and Statistics, Boston University

  44. Latent Laplace Diffusion for Irregular Multivariate Time Series

    May 19, 2026Zinuo You, Jin Zheng, John CartlidgeLong-Horizon ForecastingMultivariate Time-Series

    School of Computer Science, University of Bristol · School of Engineering Mathematics and Technology, University of Bristol

  45. XCTFormer: Leveraging Cross-Channel and Cross-Time Dependencies for Enhanced Time-Series Analysis

    May 18, 2026Israel Zexer, Omri AzencotMultivariate Time-SeriesTemporal Dependence

    The Stein Faculty of Computer and Information Science Ben-Gurion University of the Negev

  46. L-Drive: Beyond a Single Mapping-Latent Context Drives Time Series Forecasting

    May 18, 2026Fan Zhang, Shijun Chen, Hua WangTime Series ForecastingMultivariate Time-Series

    Shandong Technology and Business University, Yantai, Shandong, China · Ludong University, Yantai, Shandong, China

  47. Enhancing Regime Shift Detection Using Unstructured Data: A Study on the Treasury Market

    May 17, 2026Mingxuan Yi, Vidal Mehra, Jing Chen +1Financial Sentiment AnalysisUnstructured Data

    School of Engineering Mathematics and Technology, University of Bristol, UK · Propellant Digital B.V., Amsterdam, Netherlands · School of Mathematics, Cardiff University, UK

  48. CAST: Causal Anchored Simplex Transport for Distribution-Valued Time Series

    May 16, 2026Jiecheng Lu, Jieqi Di, Runhua Wu +1Multivariate Time-SeriesTime Series

    Georgia Institute of Technology · Indiana University

  49. PESD-TSF: A Period-Aware and Explicit Structured Decomposition Framework for Long-Term Time Series Forecasting

    May 15, 2026Hua Wang, Xianhao Jiao, Fan ZhangMultivariate Time Series ForecastingMultivariate Time-Series

    School of Computer and Artificial Intelligence, Ludong University, Yantai, Shandong 264025, China · School of Computer and Artificial Intelligence, Ludong University, Yantai, Shandong 264025, China. · School of Computer Science and Technology, Shandong Technology and Business University, Yantai, Shandong 264005, China +1

  50. HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series

    May 11, 2026Jonas Petersen, Gian-Alessandro Lombardi, Riccardo Maggioni +3Forecasting BackboneMultivariate Time-Series

    1ETH Zurich · 2Forgis · University of Vienna

  51. One-Step Graph-Structured Neural Flows for Irregular Multivariate Time Series Classification

    May 11, 2026Mengzhou Gao, Kaiwei Wang, Pengfei JiaoMultivariate Time-SeriesTime-Series Classification

    School of Cyberspace, Hangzhou Dianzi University.

  52. Learning Unified Representations of Normalcy for Time Series Anomaly Detection

    May 10, 2026Prithul Sarker, Sushmita Sarker, Nicholas G. Murray +1Time-Series Anomaly DetectionGraph Anomaly Detection

    University of Nevada, Reno

  53. Probabilistic Circuits for Irregular Multivariate Time Series Forecasting

    Apr 30, 2026Christian Klötergens, Vijaya Krishna Yalavarthi, Lars Schmidt-ThiemeMultivariate Time-SeriesTime Series Forecasting

    1ISMLL, University of Hildesheim, Germany

  54. Univariate Channel Fusion for Multivariate Time Series Classification

    Apr 17, 2026Fernando Moro, Vinicius M. A. SouzaTime-Series ClassificationMultivariate Time-Series

    Pontifícia Universidade Católica do Paraná (PUCPR), Brazil · Graduate Program in Informatics (PPGIa), Brazil

  55. Fun-TSG: A Function-Driven Multivariate Time Series Generator with Variable-Level Anomaly Labeling

    Apr 14, 2026Pierre Lotte, André Péninou, Olivier TesteTime-Series Anomaly DetectionTime-Series Generation

    EPE UT, IRIT · Université de Toulouse, IRIT, CNRS · UT2J, IRIT-SIG, IRIT +2

  56. Anomaly detection in time-series via inductive biases in the latent space of conditional normalizing flows

    Mar 12, 2026David Baumgartner, Eliezer de Souza da Silva, Iñigo UrteagaTime-Series Anomaly DetectionMultivariate Time-Series

    Department of Computer Science, Norwegian University of Science and Technology, Norway · BCAM — Basque Center for Applied Mathematics, Spain · Department of Informatics Engineering, University of Coimbra, Portugal +2

  57. Deep Learning Network-Temporal Models For Traffic Prediction

    Mar 12, 2026Yufeng Xin, Ethan FanAccurate Traffic ForecastingMultivariate Time-Series

    RENCI, University of North Carolina at Chapel Hill Chapel Hill, NC, USA

  58. UniMamba: A Unified Spatial-Temporal Modeling Framework with State-Space and Attention Integration

    Mar 6, 2026Xingsheng Chen, Xianpei Mu, Deyu Yi +6Multivariate Time Series ForecastingSpatio-Temporal Forecasting

    School of Computing and Data Science, The University of Hong Kong, Hong Kong, China · School of Information Engineering, Beijing Institute of Graphic Communication, Beijing, China · Innovation Engineering College, Macau University of Science and Technology, Macau, China +1

  59. A foundation model with multi-variate parallel attention to generate neuronal activity

    Jun 25, 2025Francesco Carzaniga, Michael Hersche, Abu Sebastian +2Multivariate Time-SeriesTemporal Attention

    IBM Research – Zurich, Rüschlikon, Switzerland · Department of Neurology, Inselspital, Sleep-Wake-Epilepsy-Center, Bern University Hospital, Bern University, Bern, Switzerland

  60. Temporal Variational Implicit Neural Representations

    Jun 2, 2025Batuhan Koyuncu, Rachael DeVries, Ole Winther +1Multivariate Time-SeriesImputation

    Department of Computer Science, Saarland University · Department of Biology, University of Copenhagen · Novo Nordisk A/S +1