Title
M $^2$ AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding Sarah Alnegheimish Zelin He Matthew Reimherr Akash Chandrayan Abhinav Pradhan Luca DÁngelo 27 0 0 21 Apr 2025
Bridging Distribution Gaps in Time Series Foundation Model Pretraining with Prototype-Guided Normalization Peiliang Gong Emadeldeen Eldele Min Wu Zhenghua Chen Xiaoli Li Daoqiang Zhang AI4TS AI4CE 44 0 0 15 Apr 2025
Experimental Study on Time Series Analysis of Lower Limb Rehabilitation Exercise Data Driven by Novel Model Architecture and Large Models Hengyu Lin AI4CE 21 0 0 04 Apr 2025
Multimodal Data Integration for Sustainable Indoor Gardening: Tracking Anyplant with Time Series Foundation Model Seyed Hamidreza Nabaei Zeyang Zheng Dong Chen Arsalan Heydarian 29 0 0 27 Mar 2025
Adaptive Machine Learning for Resource-Constrained Environments Sebastián A. Cajas Ordóñez Jaydeep Samanta Andrés L. Suárez-Cetrulo Ricardo Simón Carbajo 29 0 0 24 Mar 2025
Strada-LLM: Graph LLM for traffic prediction Seyed Mohamad Moghadas Yangxintong Lyu Bruno Cornelis Alexandre Alahi Adrian Munteanu AI4TS 56 0 0 17 Feb 2025
LAST SToP For Modeling Asynchronous Time Series Shubham Gupta Thibaut Durand Graham Taylor Lilian W. Białokozowicz AI4TS 42 0 0 04 Feb 2025
Energy Price Modelling: A Comparative Evaluation of four Generations of Forecasting Methods Alexandru-Victor Andrei Georg Velev Filip-Mihai Toma Daniel Traian Pele Stefan Lessmann AI4TS 47 1 0 05 Nov 2024
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data Manuel Brenner Elias Weber G. Koppe Daniel Durstewitz AI4TS AI4CE 29 2 0 07 Oct 2024
Towards Long-Context Time Series Foundation Models Nina Żukowska Mononito Goswami Michał Wiliński Willa Potosnak Artur Dubrawski AI4TS 16 2 0 20 Sep 2024
Partial-Multivariate Model for Forecasting Jaehoon Lee Hankook Lee Sungik Choi Sungjun Cho Moontae Lee AI4TS 31 0 0 19 Aug 2024
Survey and Taxonomy: The Role of Data-Centric AI in Transformer-Based Time Series Forecasting Jingjing Xu Caesar Wu Yuan-Fang Li Grégoire Danoy Pascal Bouvry AI4TS 32 1 0 29 Jul 2024
Macroeconomic Forecasting with Large Language Models Andrea Carriero Davide Pettenuzzo Shubhranshu Shekhar 36 4 0 01 Jul 2024
Efficient Time Series Processing for Transformers and State-Space Models through Token Merging Leon Götz Marcel Kollovieh Stephan Günnemann Leo Schwinn 16 1 0 28 May 2024
Forecasting with Hyper-Trees Alexander März Kashif Rasul 37 0 0 13 May 2024
The impact of data set similarity and diversity on transfer learning success in time series forecasting Claudia Ehrig Benedikt Sonnleitner Ursula Neumann Catherine Cleophas Germain Forestier AI4TS 35 1 0 09 Apr 2024
BlackMamba: Mixture of Experts for State-Space Models Quentin G. Anthony Yury Tokpanov Paolo Glorioso Beren Millidge 20 21 0 01 Feb 2024
A Survey of Deep Learning and Foundation Models for Time Series Forecasting John A. Miller Mohammed Aldosari Farah Saeed Nasid Habib Barna Subas Rana I. Arpinar Ninghao Liu AI4TS AI4CE 33 19 0 25 Jan 2024
How Does It Function? Characterizing Long-term Trends in Production Serverless Workloads Artjom Joosen Ahmed Hassan Martin Asenov Rajkarn Singh L. N. Darlow Jianfeng Wang Adam Barker 32 36 0 15 Dec 2023
GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation Yakun Chen Xianzhi Wang Guandong Xu AI4TS 23 28 0 24 Nov 2023
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting Samuel Dooley Gurnoor Singh Khurana Chirag Mohapatra Siddartha Naidu Colin White AI4TS 79 58 0 03 Nov 2023
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting Gerald Woo Chenghao Liu Doyen Sahoo Akshat Kumar Steven C. H. Hoi AI4TS 111 394 0 03 Feb 2022
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,424 0 23 Jan 2020