Time Series Transformers

Ask about this topic

Momentum

8 papers in the last four weeks, up 60% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28
View on map

Latest papers 91

All topics
CardsList

  1. DSTNet: Dynamic Spectral Trajectory Network for Causal Multi-Horizon Financial Forecasting

    Oct 7, 2026Aashish Bohra, Lokendra VishwakarmFinancial ForecastingTime Series Forecasting

    Department of Computer Science and Engineering, Indian Institute of Technology Jodhpur, Jodhpur, Rajasthan 342030, India · School of Computing and Data Sciences, FLAME University, Pune Maharashtra, India

  2. Transformer-Based Time-Series Inference of Lindblad Dynamics in Open Quantum Systems

    Oct 5, 2026Julian Guam, Jianqing LiuQuantum System IdentificationSystem Identification

    Department of Computer Science, North Carolina State University, Raleigh, NC

  3. STCFormer: Adaptive Spatio-Temporal Modeling with Dynamic Cluster Transformer for Station-based Weather Forecasting

    Sep 30, 2026Rongwen Li, Haixin Xie, Mingyang Wang +5Multivariate Time Series ForecastingClustering

    Hunan University · China Meteorological Administration · Hunan Provincial Meteorological Bureau

  4. Association profile conditioning in a set-temporal transformer for cross-session intracortical motor decoding

    Sep 30, 2026Xinyuan Zhang, Handong Mo, Pengfei Wen +5TransformerNeural Decoding

    The University of Hong Kong, Hong Kong SAR, China · Southern University of Science and Technology, Shenzhen, China

  5. Universality and Generalization of Causal Transformers Across Context Lengths

    Sep 28, 2026Takashi Furuya, Maarten V. de Hoop, Gabriel PeyréNeural Network GeneralizationTransformer Expressivity

    Doshisha University, RIKEN AIP · Rice University · CNRS, ENS, PSL Université

  6. AI-based detection of worsening heart failure from low-resolution telemonitoring data

    Sep 24, 2026Erik Aerts, Yinan Yu, Annika Rosengren +5Time Series TransformersAnomaly Detection

    Department of Computer Science and Engineering, Chalmers Universiy of Technology, Gothenburg, Sweden · Department of Computer Science and Engineering, University of Gothenburg, Gothenburg, Sweden · Center for Digital Health, Sahlgrenska University Hospital, Gothenburg, Sweden +3

  7. Evaluating Accuracy and Probabilistic Reliability of Zero-Shot Time Series Foundation Models

    Sep 22, 2026Panagiotis Michael, Moysis Symeonides, Demetris TrihinasZero-Shot Time Series ForecastingTime Series Transformers

    Department of Computer Science, University of Nicosia, Cyprus · Department of Computer Science, University of Cyprus, Cyprus

  8. SETTer: Sparse-Encoder Transformer for Long-term Multivariate Time Series Forecasting

    Sep 17, 2026Abraham Ezema, Chijioke Eze, Ferdinanda Ponci +1Multivariate Time Series ForecastingLong-Term Time Series Forecasting

    Institute for Automation of Complex Power Systems, RWTH Aachen University, 52064 Aachen, Germany · RWTH Aachen University, 52064 Aachen, Germany · institute for Monitoring and Distributed Control for Power Systems Teaching and Research Area, RWTH Aachen University, 52064 Aachen, Germany +1

  9. On the role of the tokenizer in ECG transformer models

    Sep 14, 2026Jiawei Li, Fabio Bonassi, Johan Sundström +2Electrocardiogram ClassificationTime Series Transformers

    Uppsala University, Uppsala, Sweden · Scilifelab, Uppsala, Sweden

  10. TempTPI: Informer-Based trajectory prediction for maritime vessels

    Sep 9, 2026Kevin Ferneding, Veronika Lietavcova, Aleksandra M. Blachowiak +1Vessel Trajectory PredictionTime Series Transformers

    Technical University of Denmark Anker Engelunds Vej 101 2800 Kongens Lyngby, Denmark

  11. Seasonality-Aware Hybrid Convolutional Transformer for Antarctic Sea Ice Concentration Forecasting

    Aug 31, 2026Danyang Li, John Taylor, Thang Bui +1Hybrid CNN-Transformer ArchitecturesTime Series Forecasting

    School of Computer Science, Australian National University, Canberra, ACT 2601, Australia · Yau Mathematical Sciences Center, Tsinghua University, Beijing, China

  12. Beat-Synchronous Tokenization for ECG Transformers

    Aug 31, 2026Ahmed Sameh, Nolan Wilson, Max Enderlein +1ElectrocardiographyElectrocardiogram Classification

    Computer Science & Engineering, University of Minnesota Twin Cities, Minneapolis, MN 55455, USA.

  13. INTERVenE: Temporal-Abstraction-Interval Based Transformers for Short-Horizon Medical Event Prediction

    Aug 30, 2026Shahar Oded, Yuval ShaharEvent Time PredictionInterpretable ML

    The Stein Faculty of Computer and Information Science, Ben-Gurion University of the Negev, Beer-Sheva, Israel

  14. A Multidimensional Data-Driven Hybrid Transformer Framework for Non-invasive Continuous Blood Pressure Prediction

    Aug 24, 2026Yuexin Ma, Jingqi Hou, Yuxuan Kang +1Wearable Health MonitoringTime Series Transformers

    College of Computer Science, Beijing University of Technology, Beijing, China

  15. Rethinking Patch Based Multivariate Time Series Forecasting with Semantic Structured Partitioning

    Aug 20, 2026Zhiquan Huang, Jiazhe Wang, Linjing Xue +3Multivariate Time Series ForecastingTime Series Forecasting

    School of Information Engineering, Henan University of Science and Technology, Luoyang, 471023, Henan, China · School of Software, Henan University of Science and Technology, Luoyang, 471000, Henan, China

  16. QFCQT: A Chaotically Gated Quantformer Framework for Volatile Time-Series Forecasting

    Aug 7, 2026Junkai Lin, Siqi Hou, Raymond LeeMultivariate Time Series ForecastingTime Series Forecasting

    Faculty of Science and Technology, Beijing Normal-Hong Kong Baptist University, Zhuhai, China · Guangdong Provincial Key Lab of Interdisciplinary Research and Application for Data Science (BNBU), Zhuhai, China

  17. Timestep-Conditioned Transformers for Global Weather Forecasting

    Aug 6, 2026Sam Levang, Fran Bartolic, Ty Dickinson +3Time Series ForecastingProbabilistic Forecasting

    Salient

  18. Is Self-Pretraining really useful to improve diagnosis in medical Time Series?

    Aug 6, 2026Omar Coser, Antonio Orvieto, Paolo Soda +1Time Series ClassificationSelf-Supervised Time Series Representation Learning

    Unit of Artificial Intelligence & Computer Systems, Universit`a Campus Bio-Medico di Roma, Via ´Alvaro del Portillo, 21, Rome, 00128, Italy. · Unit of Advanced Robotics and Human-Centered Technologies, Universit`a Campus Bio-Medico di Roma, Via ´Alvaro del Portillo, 21, Rome, 00128, Italy. · Max Planck Institute for Intelligent Systems +2

  19. Spatiotemporal Graph Transformer for Traffic Intelligence in Edge Computing

    Aug 4, 2026Laha Ale, Letian Lin, Na Cao +2Edge ComputingTraffic Forecasting

    School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China · SWJTU-Leeds Joint School, Southwest Jiaotong University, Chengdu, China · Key Lab of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, China +1

  20. Forecasting Revenue with its Customer-Base Drivers: When and Why Coordination Helps

    Aug 3, 2026Kyeongbin Kim, Daniel McCarthy, Dokyun LeeMultivariate Time Series ForecastingFinancial Forecasting

    University of Wisconsin–Madison · University of Maryland · Boston University

  21. Evaluating Forecasting Techniques for Hardware Errors on a Large-scale HPC System

    Aug 3, 2026Kaiyuan Liao, Xiwei Xuan, Tanwi Mallick +3High-Performance ComputingTime Series Forecasting

    Department of Computer Science, University of California, Davis, USA · Argonne National Laboratory, Lemont, IL, USA · Rensselaer Polytechnic Institute, Troy, NY, USA

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

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

    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

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

    Jul 30, 2026Tianen Shen, Zhengyu Li, Yutong Li +4Irregular Time-Series ModelingMultivariate Time Series Forecasting

  24. HealthCAT: An Interpretable Encoder-only Transformer Framework for Health Indicator Prediction and Temporal Interpretation of Wearable Sensor Data

    Jul 30, 2026Xiaotong Yu, Joshua Y. Kim, HaeJin Lee +1Transformer InterpretabilityExplainable Artificial Intelligence

  25. Hierarchical Spatio-Temporal Transformer for Coherent Emergency Department Forecasting

    Jul 29, 2026Filipa Lino, Bárbara Tavares, Carlos Santiago +2Time Series ForecastingSpatiotemporal Forecasting

    Institute for Systems and Robotics, LARSyS, Instituto Superior Técnico, Portugal · NOVA School of Science and Technology, Caparica, Portugal

  26. Hopformer: Homogeneity-Pursuit Transformer for Time Series Forecasting

    Jul 24, 2026Wan Zhang, Qinjie Lin, Chan Lee +3Multivariate Time Series ForecastingTime Series Forecasting

    The AMSS Center of Forecasting Science, Chinese Academy of Sciences, Beijing, China · Department of Computer Science, Northwestern University, Evanston, IL · Department of Statistics and Data Science, Northwestern University, Evanston, IL +1

  27. Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs

    Jul 24, 2026Ilia Sobakinskikh, Paul Alexander BilokonTransformer InferenceFinancial Time Series

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

    Jul 18, 2026Wenqiang Ma, Chen Cheng, Xue Cheng +1Multivariate Time Series ForecastingMulti-Scale Feature Fusion

    Soul of Harlequin Lab

  29. A Benchmark for Electrical Load Forecasting Across Grid Levels: Time-Series Transformers Outperform Established Methods

    Jul 17, 2026Matthias Hertel, Sebastian Pütz, Jonathan Kolar +3Time Series ForecastingForecasting Benchmarks

    Karlsruhe Institute of Technology, Germany · Helmholtz AI, Germany

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

    Jul 15, 2026Yiming Ma, Xinyu ChenDecoder-Only Language ModelsTime Series Forecasting

  31. STAGformer: A Spatio-temporal Agent Graph Transformer for Micro Mobility Demand Forecasting

    Jul 7, 2026Ye ZihaoAttention MechanismsSpatiotemporal Forecasting

    Department of System Engineering City University of Hong Kong

  32. Extreme Adaptive Transformer for Time Series Forecasting

    Jul 2, 2026Sanjeev Shrestha, Hui Liu, Yifan ZhangTime Series ForecastingTime Series Transformers

    Department of Computer Science, Missouri State University

  33. Self-Gating Attention for Efficient Time Series Forecasting

    Jul 2, 2026Dezheng Wang, Tong Chen, Wei Yuan +3Time Series ForecastingLinear Attention

    School of Automation, Southeast University, 210096, China · School of Electrical Engineering and Computer Science, The University of Queensland, QLD 4072, Australia

  34. EVOTS: Evolutionary Transformer Search for Time Series Forecasting

    Jun 30, 2026AbdElRahman ElSaid, Damir PulatovMultivariate Time Series ForecastingNeural Architecture Search

    University of North Carolina Wilmington Wilmington, North Carolina, USA

  35. Adaptive Financial Transformer with Regime-Gated Attention for Stock Return Prediction

    Jun 28, 2026Dishan SarkarMultivariate Time Series ForecastingTime Series Forecasting

    Department of Artificial Intelligence and Machine Learning Birla Institute of Technology, Mesra Ranchi, India

  36. Improving Coherence in Hierarchical Time Series Forecasting using Structured Temporal Fusion

    Jun 26, 2026Ruchi PakhleTime Series ForecastingTime Series Transformers

    Data and AI · Red Hat

  37. Parameter Efficient Hybrid Transformer (PEHT) for Network Traffic Prediction via Dynamic Urban Congestion Integration

    Jun 26, 2026Abdolazim Rezaei, Mehdi Sookhak, Mahboobeh HaghparastMultivariate Time Series ForecastingTraffic Forecasting

    Department of Computer Science Texas A&M University Corpus Christi, USA

  38. PMDformer: Patch-Mean Decoupling Information Transformer for Long-term Forecasting

    Jun 25, 2026Ao Hu, Liangjian Wen, Jiang Duan +7Multivariate Time Series ForecastingLong-Term Time Series Forecasting

    Southwestern University of Finance and Economics · Artificial Intelligence and Digital Finance Key Laboratory of Sichuan Province · Chengdu Everimaging Science and Technology Co., Ltd. +4

  39. TopoCast: A Topological Fidelity Framework for Evaluating Transformer-Based Time Series Forecasting

    Jun 24, 2026Sandeepa Weerasekara, Sandareka WickramanayakeTime Series ForecastingTime Series Transformers

    Department of Computer Science and Engineering, University of Moratuwa, Katubedda, Moratuwa, 10400, Sri Lanka.

  40. An LLM-based Two-Stage Transformer Framework for Cross-Domain Bearing Fault Diagnosis with Limited Data

    Jun 23, 2026Jinghan Wang, Feng Cheng, Wentao Wu +3Few-Shot Domain AdaptationPredictive Maintenance

    School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China

  41. SoccerNet 2026 Player-Centric Ball Action Spotting: Per-Player Attention with Agreement-Based Ensembling

    Jun 23, 2026Faisal Altawijri, Ismail MathkourSports Video AnalysisVideo Action Recognition

    TAHAKOM

  42. ROSA-TFormer: A Radar-Optical Sensor-Aware Temporal Transformer for Pinus sylvestris Plantation Classification in Northern Shaanxi Using GEE-Derived Sentinel-1/2 Time Series

    Jun 17, 2026Nengbo Zhang, Chang shengTime Series ClassificationLand Cover Classification

    Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS), Beijing 100101, China

  43. ASTEROID: A Spatiotemporal Information Transformer for Forecasting Multi-Step Time Series of Molecular Dynamics

    Jun 16, 2026Kexin Wu, Luonan Chen, Renxiao WangSpatiotemporal ForecastingMolecular Dynamics Simulation

    Department of Medicinal Chemistry, School of Pharmaceutical Sciences, Fudan University, 826 Zhangheng Road, Shanghai 201203, People's Republic of China · School of Mathematical Sciences and School of AI, Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China

  44. MorphStrata: Layer-Specific Perturbations for Generating Morphence Students in Time-Series Moving Target Defense

    Jun 16, 2026Abhishek Bhardwaj, Arnav Doshi, Anusri Nagarajan +5Adversarial AttacksTime Series Forecasting

    Department of Computer Science, San Jos´e State University, San Jos´e, CA, USA · Department of Computer Engineering, San Jos´e State University, San Jos´e, CA, USA · Department of Applied Data Science, San Jos´e State University, San Jos´e, CA, USA +1

  45. Robust Transformer-Based One-Step Stock Index Forecasting via Shifted Data Augmentation

    Jun 14, 2026Tien Thanh ThachTime Series ForecastingTime Series Data Augmentation

    Faculty of Mathematics and Statistics, Ton Duc Thang University, Ho Chi Minh City, Vietnam

  46. APEX: A Network-Native Time-Series Foundation Model for Forecasting and Anomaly Detection for Wireless Edge Operations

    Jun 10, 2026Swadhin Pradhan, Niloo Bahadori, Peiman AminiMultivariate Time Series ForecastingWireless Foundation Models

    Cisco Systems, USA

  47. Do Transformers Actually Help Intrusion Detection? A Temporal Sequence Evaluation on CIC-IDS2017

    Jun 9, 2026Zach Moczkodan, Hany RagabData LeakageNetwork Intrusion Detection

    Royal Military College of Canada, Kingston, Canada · Department of Electrical and Computer Engineering, Faculty of Engineering, Royal Military College of Canada (RMC), Kingston, Ontario, K7K 7B4, Canada.

  48. CITRAS-FM: Tiny Time Series Foundation Model for Covariate-Informed Zero-Shot Forecasting

    Jun 9, 2026Yosuke Yamaguchi, Issei Suemitsu, Yuki Kajihara +1Synthetic Data PretrainingZero-Shot Time Series Forecasting

    Research & Development Group, Hitachi Ltd., Tokyo, Japan

  49. Transformer Based Model for Spatiotemporal Feature Learning in EEG Emotion Recognition

    Jun 9, 2026Xinglong Cui, Dian GuElectroencephalographyTemporal Attention

    Beijing Neurodeep Technology Co., Ltd, Beijing, 100176, China · University of Pennsylvania, Seattle, 98121, USA

  50. One Step Closer to Ground Truth: A Multi-Scale Residual-Aware Representation Learning Pipeline for Predicting Time Series Data

    Jun 9, 2026Amrijit Biswas, Mustafa Kamal, Robin Krambroeckers +4Multivariate Time Series ForecastingResidual Learning

    Artificial Intelligence Department, RobotBulls Labs Geneva, Switzerland · Department of Electrical and Computer Engineering, North South University Dhaka, Bangladesh

  51. Does Normalization Choice Matter for Causal Large Time-Series Models?

    Jun 8, 2026Samy-Melwan Vilhes, Gilles Gasso, Mokhtar Z AlayaTime Series ForecastingNon-Stationary Time Series Forecasting

    LMAC · INSA Rouen Normandie, Univ Rouen Normandie Univ, LITIS UR4108, F-76000 Rouen, France · Univ de Technologie de Compi`egne, LMAC EA 222, F-60203 Compi`egne, France

  52. Signed Dual Attention: Capturing Signed Dependencies in Time Series Forecasting

    Jun 3, 2026Balthazar Courvoisier, Tristan CazenaveTime Series ForecastingTransformer Attention

    Queensfield AI Technologies, Paris, France · LAMSADE, Universit´e Paris Dauphine - PSL, Paris, France

  53. An Empirical Audit of Input Encoders for Multi-Channel Signal Transformers

    Jun 3, 2026Ossi LehtinenMultivariate Time Series ForecastingTime Series Transformers

    Ocon Oy

  54. Adaptive Patching Is Harder Than It Looks For Time-Series Forecasting

    Jun 2, 2026Federico Zucchi, Yi Xie, Chao Zhang +3Long-Term Time Series ForecastingTime Series Forecasting

    ICube, University of Strasbourg, Illkirch-Graffenstaden, France · Cephalgo, Strasbourg, France · Technical University of Munich +3

  55. Trans GAN-WT: A Feature Extraction and Interactive Learning-Based Anomaly Detection Model for Wind Turbine Time Series Data

    Jun 2, 2026Jingzhe KangReconstruction-Based Anomaly DetectionTime-Series Anomaly Detection

    School of Mathematics, Shandong University, Jinan 250100, China

  56. Data-Driven Forecasting of three-Component Seismograms Using Transformer Architectures

    Jun 1, 2026Waleed Esmail, Stuart Russell, Jana Klinge +2Multivariate Time Series ForecastingTime Series Forecasting

    Institut für Kernphysik, Universität Münster, Wilhelm-Klemm-Straße 9, 48149, Münster · Institut für Geophysik, Universität Münster, Corrensstraße 24, 48149, Münster · James Cook University, 1 James Cook Drive, Douglas, Queensland, 4814, Australia +1

  57. FAiT: Frequency-Aware Inverted Transformer for Multivariate Time Series Forecasting

    May 31, 2026Peng He, Yao Liu, Yanglei Gan +3Multivariate Time Series ForecastingFrequency-Domain Feature Learning

    University of Electronic Science and Technology of China · Chengdu, Sichuan, China

  58. Context-aware tokenization for Cross-subject Emotion Decoding from EEG

    May 30, 2026Jiaxin Qing, Lexin LiCross-Subject EEG DecodingEEG Decoding

    University of California, Berkeley

  59. Uncertainty-Aware Transfer Learning for Cross-Building Energy Forecasting: Toward Robust and Scalable District-Level Energy Management

    May 28, 2026Shadmehr Zaregarizi, Khashayar YavariUncertainty QuantificationTime Series Forecasting

    Politecnico di Torino · Turin, Italy

  60. BatteryMFormer: Multi-level Learning for Battery Degradation Trajectory Forecasting

    May 26, 2026Ruifeng Tan, Jintao Dong, Weixiang Hong +3Multivariate Time Series ForecastingRUL Estimation

    School of Computer Science and Engineering, Central South University · Material Genome Institute, Shanghai University