Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

23 January 2020

Papers citing "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"

50 / 111 papers shown

Title
Interpretable Spatial-Temporal Fusion Transformers: Multi-Output Prediction for Parametric Dynamical Systems with Time-Varying Inputs Shuwen Sun Lihong Feng P. Benner 52 0 0 01 May 2025
TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Robert Leppich Michael Stenger Daniel Grillmeyer Vanessa Borst Samuel Kounev AI4TS AI4CE 69 0 0 26 Apr 2025
Enhancing Time Series Forecasting via Logic-Inspired Regularization Jianqi Zhang Jingyao Wang Xingchen Shen Jingyao Wang AI4TS 54 0 0 10 Mar 2025
An Efficient Continual Learning Framework for Multivariate Time Series Prediction Tasks with Application to Vehicle State Estimation Arvin Hosseinzadeh Ladan Khoshnevisan Mohammad Pirani Shojaeddin Chenouri Amir Khajepour CLL AI4TS 49 1 0 03 Mar 2025
Engineering Carbon Credits Towards A Responsible FinTech Era: The Practices, Implications, and Future Qingwen Zeng Hanlin Xu Nanjun Xu Flora Salim Junbin Gao Huaming Chen 37 0 0 28 Jan 2025
Automatic selection of the best neural architecture for time series forecasting via multi-objective optimization and Pareto optimality conditions Qianying Cao Shanqing Liu Alan John Varghese Jérome Darbon M. Triantafyllou George Karniadakis AI4TS 267 0 0 21 Jan 2025
Epidemiology-informed Graph Neural Network for Heterogeneity-aware Epidemic Forecasting Yufan Zheng Wei Jiang Alexander Zhou Nguyen Quoc Viet Hung Choujun Zhan Tong Chen AI4TS 83 1 0 26 Nov 2024
Just In Time Transformers Ahmed Ala Eddine Benali M. Cafaro I. Epicoco Marco Pulimeno Enrico Junior Schioppa AI4TS 21 0 0 22 Oct 2024
On-device AI: Quantization-aware Training of Transformers in Time-Series Tianheng Ling Gregor Schiele AI4TS 19 1 0 29 Aug 2024
Contrasting Deep Learning Models for Direct Respiratory Insufficiency Detection Versus Blood Oxygen Saturation Estimation M. Gauy Natalia Hitomi Koza Ricardo Mikio Morita Gabriel Rocha Stanzione Arnaldo Cândido Júnior L. Berti A. S. Levin E. Sabino F. Svartman Marcelo Finger 40 0 0 30 Jul 2024
Emotion and Intent Joint Understanding in Multimodal Conversation: A Benchmarking Dataset Rui Liu Haolin Zuo Zheng Lian Xiaofen Xing Björn W. Schuller Haizhou Li 53 4 0 03 Jul 2024
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data Zexing Xu Linjun Zhang Sitan Yang Rasoul Etesami Yangqiu Song Huan Zhang Jiawei Han AI4TS 41 3 0 23 Jun 2024
Generalist Multimodal AI: A Review of Architectures, Challenges and Opportunities Sai Munikoti Ian Stewart Sameera Horawalavithana Henry Kvinge Tegan H. Emerson Sandra E Thompson Karl Pazdernik 43 2 0 08 Jun 2024
A Temporal Kolmogorov-Arnold Transformer for Time Series Forecasting Remi Genet Hugo Inzirillo AI4TS 39 43 0 04 Jun 2024
Time Series Representation Models Robert Leppich Vanessa Borst Veronika Lesch Samuel Kounev AI4TS 27 0 0 28 May 2024
Scalable Numerical Embeddings for Multivariate Time Series: Enhancing Healthcare Data Representation Learning Chun-Kai Huang Yi-Hsien Hsieh Ta-Jung Chien Li-Cheng Chien Shao-Hua Sun T. Su J. Kao Che Lin AI4TS 47 0 0 26 May 2024
From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecasting Zhen Zeng Rachneet Kaur S. Siddagangappa T. Balch Manuela Veloso AI4TS 27 5 0 17 Mar 2024
Can Transformers Predict Vibrations? Fusataka Kuniyoshi Yoshihide Sawada 32 0 0 16 Feb 2024
Changes by Butterflies: Farsighted Forecasting with Group Reservoir Transformer Md Kowsher Abdul Rafae Khan Jia Xu 34 0 0 14 Feb 2024
Text-to-Code Generation with Modality-relative Pre-training Fenia Christopoulou Guchun Zhang Gerasimos Lampouras AI4TS 26 1 0 08 Feb 2024
Mesoscale Traffic Forecasting for Real-Time Bottleneck and Shockwave Prediction Raphael Chekroun Han Wang Jonathan W. Lee Marin Toromanoff Sascha Hornauer Fabien Moutarde M. D. Monache 30 0 0 08 Feb 2024
CEL: A Continual Learning Model for Disease Outbreak Prediction by Leveraging Domain Adaptation via Elastic Weight Consolidation Saba Aslam Abdur Rasool Hongyan Wu Xiaoli Li 30 5 0 17 Jan 2024
Attention and Autoencoder Hybrid Model for Unsupervised Online Anomaly Detection Seyed Amirhossein Najafi M. H. Asemani P. Setoodeh 11 3 0 06 Jan 2024
EdgeConvFormer: Dynamic Graph CNN and Transformer based Anomaly Detection in Multivariate Time Series Jie Liu Qilin Li Senjian An Bradley Ezard Ling Li AI4TS 23 1 0 04 Dec 2023
Deep Double Descent for Time Series Forecasting: Avoiding Undertrained Models Valentino Assandri Sam Heshmati Burhaneddin Yaman Anton Iakovlev Ariel Emiliano Repetur 52 0 0 02 Nov 2023
A Systematic Review for Transformer-based Long-term Series Forecasting Liyilei Su Xumin Zuo Rui Li Xin Wang Heng Zhao Bingding Huang AI4TS 47 4 0 31 Oct 2023
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting Kashif Rasul Arjun Ashok Andrew Robert Williams Hena Ghonia Rishika Bhagwatkar ... Nicolas Chapados Alexandre Drouin Valentina Zantedeschi Yuriy Nevmyvaka Irina Rish AI4TS BDL 34 47 0 12 Oct 2023
Deep Optimal Timing Strategies for Time Series Chen Pan Fan Zhou Xuanwei Hu Xinxin Zhu Wenxin Ning Zi Zhuang Siqiao Xue James Y. Zhang Yun Hu AI4TS 25 3 0 09 Oct 2023
Learning Noise-Robust Joint Representation for Multimodal Emotion Recognition under Incomplete Data Scenarios Qi Fan Haolin Zuo Rui Liu Zheng Lian Beijing 33 2 0 21 Sep 2023
Reasonable Anomaly Detection in Long Sequences Yalong Jiang Changkang Li AI4TS 45 0 0 06 Sep 2023
Encoding Seasonal Climate Predictions for Demand Forecasting with Modular Neural Network S. Marvaniya Jitendra Singh Nicolas Galichet Fred Ochieng Otieno Geeth de Mel Kommy Weldemariam AI4TS 27 0 0 05 Sep 2023
GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series Forecasting Sitan Yang Malcolm Wolff S. Ramasubramanian Vincent Quenneville-Belair Ronak Metha Michael W. Mahoney AI4TS AI4CE 26 1 0 07 Jul 2023
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting Patrick Emami A. Sahu Peter Graf AI4TS 41 13 0 30 Jun 2023
Deep Normalizing Flows for State Estimation Harrison Delecki Liam A. Kruse Marc R. Schlichting Mykel J. Kochenderfer 21 1 0 27 Jun 2023
Comparing Deep Learning Models for the Task of Volatility Prediction Using Multivariate Data Wenbo Ge Pooia Lalbakhsh Leigh Isai Artem Lenskiy Hanna Suominen OOD 23 3 0 20 Jun 2023
Transformer Training Strategies for Forecasting Multiple Load Time Series Matthias Hertel Maximilian Beichter Benedikt Heidrich Oliver Neumann Benjamin Schafer Ralf Mikut V. Hagenmeyer AI4TS 27 12 0 19 Jun 2023
One for All: Unified Workload Prediction for Dynamic Multi-tenant Edge Cloud Platforms Shaoyuan Huang Zheng Wang Hengda Zhang Xiaofei Wang Chen Zhang Wenyu Wang AI4TS 30 10 0 02 Jun 2023
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare Panayiotis Danassis Shresth Verma J. Killian Aparna Taneja Milind Tambe 18 6 0 22 May 2023
Predicting Unplanned Readmissions in the Intensive Care Unit: A Multimodality Evaluation Eitam Sheetrit Menachem Brief Oren Elisha 18 10 0 14 May 2023
Multi-scale Transformer-based Network for Emotion Recognition from Multi Physiological Signals T. Vu V. Huynh Soo-Hyung Kim 38 6 0 01 May 2023
A Neural Network Transformer Model for Composite Microstructure Homogenization Emil Pitz K. Pochiraju AI4CE 32 10 0 16 Apr 2023
DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data Ling Yu AI4TS 33 27 0 17 Feb 2023
Reverse Ordering Techniques for Attention-Based Channel Prediction Valentina Rizzello Benedikt Bock M. Joham Wolfgang Utschick AI4TS 38 7 0 01 Feb 2023
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement Yuante Li Xin-xin Lu Yaqing Wang De-Yu Dou DiffM AI4TS 22 99 0 08 Jan 2023
Leveraging Wastewater Monitoring for COVID-19 Forecasting in the US: a Deep Learning study Mehrdad Fazli Heman Shakeri 29 1 0 17 Dec 2022
Towards Better Long-range Time Series Forecasting using Generative Forecasting Shiyu Liu Rohan Ghosh Mehul Motani AI4TS 99 2 0 09 Dec 2022
Recognition and Prediction of Surgical Gestures and Trajectories Using Transformer Models in Robot-Assisted Surgery Chang Shi Y. Zheng A. M. Fey MedIm 34 14 0 03 Dec 2022
Time Series Forecasting with Hypernetworks Generating Parameters in Advance Jaehoon Lee C. Kim Gyumin Lee Haksoo Lim Jeongwhan Choi Kookjin Lee Dongeun Lee Sanghyun Hong Noseong Park OOD AI4TS 27 3 0 22 Nov 2022
A Transformer Framework for Data Fusion and Multi-Task Learning in Smart Cities Alexander C. DeRieux Walid Saad W. Zuo R. Budiarto M. D. Koerniawan D. Novitasari 20 1 0 18 Nov 2022
Does Deep Learning REALLY Outperform Non-deep Machine Learning for Clinical Prediction on Physiological Time Series? Ke Liao Wei Wang A. Elibol L. Meng Xu Zhao N. Chong OOD 46 1 0 11 Nov 2022