Temporal Convolutional Networks

Also known as TCN

Overview

Temporal Convolutional Networks (TCNs) apply one-dimensional convolutions across time to recognize patterns in sequential data, often using causal, dilated, and residual layers to cover long histories efficiently. They are used for forecasting and classification in settings such as traffic, wearable sensors, EEG, speech, motion, and clinical signals, where parallel convolution can be a practical alternative to recurrent models. Common extensions add multi-scale filters, attention, graph structure, or physics-informed constraints to capture different temporal scales and domain relationships. TCNs are competitive in many tasks, but longer-range dependencies, robustness across subjects and settings, and whether strong predictions reflect useful temporal learning remain important challenges.

Latest papers

CardsList

31 papers2 papers in the last four weeks, down 33% on the four weeks before. 0.0% of all new papers.

  1. STeP-TS: Shared Temporal Filters with Pruning for Time Series

    Oct 26, 2026Hanne Raum, Jasper Hoffmann, Joschka BoedeckerMultivariate Time Series ForecastingMultiscale Time-Series Modeling

  2. Turning TS2Vec into a Foundation Model for Time Series Classification

    Oct 20, 2026Vasilii Feofanov, Zhenghan Tai, Andrei Ermakov +1Time Series ClassificationTime-Series Foundation Models

  3. Neural Networks for Temporal Pattern Recognition and Dynamic Arm Gesture Speed Estimation for Robot Control

    Oct 8, 2026Milán Zsolt Bagladi, László GulyásRecurrent Neural NetworksRobotic Perception

  4. A Leakage-Aware Multimodal Evaluation Framework for Early Intraoperative Acute Kidney Injury Prediction

    Sep 22, 2026Quang Minh Nguyen, Duc Minh Le, Ho Nhat Minh Nguyen +2Temporal Convolutional NetworksClinical Prediction

  5. Optical-Flow Wingbeat Counting in MuJoCo: A Comparison of Convolutional, Spiking, and Attention-Based Temporal Models

    Sep 15, 2026Zhang NengboOptical FlowAerial Robotics

  6. EConv-TasNet: Efficient Conv-TasNet for Effective Speech Separation

    Sep 10, 2026Pei-Chun Chang, Chuan-Yi LiuEfficient Neural Network InferenceTemporal Convolutional Networks

  7. A causal graph-informed temporal convolution architecture for interpretable retail electricity price forecasting

    Aug 26, 2026Yufan Ji, Abdollah Shafieezadeh, Noah DormadyElectricity Price ForecastingExplainable Time Series Forecasting

  8. NanoSleep: A Parameter-Efficient Hybrid Temporal Convolutional Network for Single-Channel Sleep Stage Classification

    Aug 19, 2026S M Asif Hossain, Shruti KshirsagarSleep Stage ClassificationLightweight CNNs

  9. LITEWAY: LIghtweight HAR via Temporal Efficient highWAY

    Aug 10, 2026Dominique Nshimyimana, Vitor Fortes Rey, Mengxi Liu +2Efficient Neural Network InferenceHuman Activity Recognition

  10. Deep Learning for Cyber Threat Detection and Mitigation in Healthcare-IoT

    Jul 31, 2026Mirza AkhiNetwork Intrusion DetectionCybersecurity

  11. Online Handwriting Trajectory Reconstruction from Kinematic Sensors using Temporal Convolutional Network

    Jul 29, 2026Wassim Swaileh, Florent Imbert, Yann Soullard +2Temporal Convolutional Networks

  12. Inferring Missing Trajectory Data with Temporal Convolutional Networks

    Jul 27, 2026Ilinca Tiriblecea, Gabriel TuriniciTime Series ImputationTemporal Convolutional Networks

  13. ATCNet-CIAM for Multi-Session Motor Imagery EEG Signal Classification

    Jul 26, 2026Le Huu Son Hai, Nguyen Chi Hai, Truong Viet Vu +3MI ClassificationBrain-Computer Interfaces

  14. Efficient and Interpretable Body-Based Emotion Recognition with Lightweight Temporal Convolutional Networks

    Jul 23, 2026Christian Arzate Cruz, Stefanos Gkikas, Houshyar AsadiEfficient Neural Network InferenceExplainable Artificial Intelligence

  15. Video-Text Temporal Localization via Multi-Scale Convolution and Dynamic Routing

    Jul 6, 2026Gengtian Shi, Jinze Yu, Chenhao Wu +5Temporal Video GroundingTemporal Convolutional Networks

  16. Deep Temporal Modeling and Ensemble Fusion for Multimodal Emotion Recognition from Physiological Signals

    Jun 12, 2026Desta Haileselassie Hagos, Saurav Keshari Aryal, Patrick Ymele-Leki +2Temporal Convolutional NetworksDeep Ensembles

  17. Physics-Guided Attention in a Lightweight TCN for Efficient WiFi CSI-Based Human Activity Recognition

    Jun 1, 2026Chinthaka Ranasingha, Tharindu Fernando, Sridha Sridharan +2Human Activity RecognitionTemporal Convolutional Networks

  18. TARNet: A Temporal-Aware Multi-Scale Architecture for Closed-Set Speaker Identification

    May 8, 2026Yassin Terraf, Youssef IraqiAudio Representation LearningTemporal Convolutional Networks

  19. DualTCN: A Physics-Constrained Temporal Convolutional Network for 2 Time-Domain Marine CSEM Inversion

    May 6, 2026Khaled Ahmed, Ghada OmarTemporal Convolutional NetworksPhysics-Informed ML

  20. Time-series Meets Complex Motion Modeling: Robust and Computational-effective Motion Predictor for Multi-object Tracking

    May 1, 2026Nhat-Tan Do, Le-Huy Tu, Nhi Ngoc-Yen Nguyen +2Temporal Convolutional NetworksMulti-Object Tracking

  21. EEG-MFTNet: An Enhanced EEGNet Architecture with Multi-Scale Temporal Convolutions and Transformer Fusion for Cross-Session Motor Imagery Decoding

    Apr 7, 2026Panagiotis Andrikopoulos, Siamak MehrkanoonMI ClassificationBrain-Computer Interfaces

  22. CA-TCN: A Causal-Anticausal Temporal Convolutional Network for Direct Auditory Attention Decoding

    Mar 27, 2026Iñigo García-Ugarte, Rubén Eguinoa, Ricardo San Martín +2Neural DecodingTemporal Convolutional Networks

  23. MRMS-Net and LMRMS-Net: Scalable Multi-Representation Multi-Scale Networks for Time Series Classification

    Mar 14, 2026Celal Alagöz, Mehmet Kurnaz, Farhan AadilTime Series ClassificationMultiscale Time-Series Modeling

  24. Detecting and measuring respiratory events in horses during exercise with a microphone: deep learning vs. standard signal processing

    Aug 4, 2025Jeanne I. M. Parmentier, Rhana M. Aarts, Elin Hernlund +2Temporal Convolutional NetworksSound Event Detection

  25. User Trajectory Prediction Unifying Global and Local Temporal Information

    Aug 4, 2025Wei Hao, Bin Chong, Ronghua Ji +1Human Trajectory PredictionTrajectory Prediction

  26. Temporal Convolutional Autoencoder for Interference Mitigation in FMCW Radar Altimeters

    May 28, 2025Charles E. Thornton, Jamie Sloop, Samuel Brown +3AutoencodersTemporal Convolutional Networks