Time Series Transformers

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

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  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

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

    Jun 26, 2026Ruchi PakhleTime Series ForecastingTime Series Transformers

    Data and AI · Red Hat

  7. 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

  8. 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

  9. 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.

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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.

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

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

    Jun 3, 2026Ossi LehtinenMultivariate Time Series ForecastingTime Series Transformers

    Ocon Oy

  24. 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

  25. 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

  26. 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

  27. 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

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

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

    University of California, Berkeley

  29. 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

  30. 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