Ti-MAE: Self-Supervised Masked Time Series Autoencoders

21 January 2023

Papers citing "Ti-MAE: Self-Supervised Masked Time Series Autoencoders"

37 / 37 papers shown

Title
Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates Chengqing Yu Fei Wang Chuanguang Yang Zezhi Shao Tao Sun Tangwen Qian Wei Wei Zhulin An Yongjun Xu AI4TS 18 0 0 14 Jun 2025
MoCA: Multi-modal Cross-masked Autoencoder for Digital Health Measurements Howon Ryu Y. Chen Yacun Wang Andrea Z. LaCroix Chongzhi Di L. Natarajan Yu Wang Jingjing Zou 26 0 0 02 Jun 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 135 0 0 15 Apr 2025
Are foundation models useful feature extractors for electroencephalography analysis? Özgün Turgut Felix S. Bott Markus Ploner Daniel Rueckert 119 0 0 28 Feb 2025
Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA A. Atienza J. Bardram S. Puthusserypady 63 0 0 28 Feb 2025
Masking the Gaps: An Imputation-Free Approach to Time Series Modeling with Missing Data Abhilash Neog Arka Daw Sepideh Fatemi Khorasgani Anuj Karpatne AI4TS 58 0 0 18 Feb 2025
Towards Generalisable Time Series Understanding Across Domains Özgün Turgut Philip Muller Martin J. Menten Daniel Rueckert AI4TS 133 3 0 09 Oct 2024
Neural Fourier Modelling: A Highly Compact Approach to Time-Series Analysis Minjung Kim Yusuke Hioka Michael Witbrock AI4TS 93 0 0 07 Oct 2024
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns Shengsheng Lin Weiwei Lin Xinyi Hu Wentai Wu Ruichao Mo Haocheng Zhong AI4TS 113 30 0 27 Sep 2024
ECG Signal Denoising Using Multi-scale Patch Embedding and Transformers Ding Zhu Vishnu Kabir Chhabra Mohammad Mahdi Khalili MedIm 70 1 0 12 Jul 2024
ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning Yihang Wang Yuying Qiu Peng Chen Kai Zhao Yang Shu Zhongwen Rao Lujia Pan Bin Yang Chenjuan Guo AI4TS AI4CE 92 11 0 24 May 2024
NERULA: A Dual-Pathway Self-Supervised Learning Framework for Electrocardiogram Signal Analysis G. Manimaran S. Puthusserypady Helena Domínguez A. Atienza J. Bardram 63 1 0 21 May 2024
UniCL: A Universal Contrastive Learning Framework for Large Time Series Models Jiawei Li Jingshu Peng Haoyang Li Lei Chen AI4TS 97 3 0 17 May 2024
LSTTN: A Long-Short Term Transformer-based Spatio-temporal Neural Network for Traffic Flow Forecasting Qinyao Luo Silu He Xing Han Yuhan Wang Haifeng Li AI4TS 98 49 0 25 Mar 2024
One Masked Model is All You Need for Sensor Fault Detection, Isolation and Accommodation Yiwei Fu Weizhong Yan 48 0 0 24 Mar 2024
Self-Supervised Learning for Time Series: Contrastive or Generative? Ziyu Liu Azadeh Alavi Minyi Li Xiang Zhang AI4TS 79 7 0 14 Mar 2024
United We Pretrain, Divided We Fail! Representation Learning for Time Series by Pretraining on 75 Datasets at Once Maurice Kraus Felix Divo David Steinmann Devendra Singh Dhami Kristian Kersting AI4TS 80 1 0 23 Feb 2024
Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning Hao Wang Xu Ju Jiangtong Li Zhijian Xu Dawei Cheng Qiang Xu AI4TS KELM 92 19 0 07 Feb 2024
MOMENT: A Family of Open Time-series Foundation Models Mononito Goswami Konrad Szafer Arjun Choudhry Yifu Cai Shuo Li Artur Dubrawski AIFin AI4TS 116 154 0 06 Feb 2024
TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling Jiaxiang Dong Haixu Wu Yuxuan Wang Yunzhong Qiu Li Zhang Jianmin Wang Mingsheng Long AI4TS 78 15 0 04 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 111 22 0 25 Jan 2024
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting Shubao Zhao Ming Jin Zhaoxiang Hou Che-Sheng Yang Zengxiang Li Qingsong Wen Yi Wang 76 2 0 10 Jan 2024
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series Vijay Ekambaram Arindam Jati Pankaj Dayama Sumanta Mukherjee Nam H. Nguyen Wesley M. Gifford Chandra Reddy Jayant Kalagnanam AI4TS VLM 172 35 0 08 Jan 2024
Universal Time-Series Representation Learning: A Survey Patara Trirat Yooju Shin Junhyeok Kang Youngeun Nam Jihye Na Minyoung Bae Joeun Kim Byunghyun Kim Jae-Gil Lee AI4TS 127 17 0 08 Jan 2024
Modality Plug-and-Play: Elastic Modality Adaptation in Multimodal LLMs for Embodied AI Kai Huang Boyuan Yang Wei Gao 62 1 0 13 Dec 2023
Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning Cheng Liang Donghua Yang Zhiyu Liang Hongzhi Wang Zheng Liang Xiyang Zhang Jianfeng Huang AI4TS 465 2 0 09 Dec 2023
ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation Tong Nie Guoyang Qin Wei Ma Yuewen Mei Jiangming Sun AI4TS AI4CE 112 36 0 04 Dec 2023
Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting Haotian Gao Renhe Jiang Zheng Dong Jinliang Deng Yuxin Ma Xuan Song AI4TS 101 21 0 01 Dec 2023
Self-Distilled Representation Learning for Time Series Felix Pieper Konstantin Ditschuneit Martin Genzel Alexandra Lindt Johannes Otterbach AI4TS 59 1 0 19 Nov 2023
Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools Wentao Zhang Yilei Zhao Shuo Sun Jie Ying Yonggang Xie Zitao Song Xinrun Wang Bo An AIFin OOD 110 7 0 17 Nov 2023
Deep Double Descent for Time Series Forecasting: Avoiding Undertrained Models Valentino Assandri Sam Heshmati Burhaneddin Yaman Anton Iakovlev Ariel Emiliano Repetur 118 0 0 02 Nov 2023
REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning Maxwell A. Xu Alexander Moreno Hui Wei Benjamin M. Marlin James M. Rehg AI4TS SSL 102 13 0 01 Nov 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 90 50 0 12 Oct 2023
NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series Pretraining Chenguo Lin Xumeng Wen Wei Cao Congrui Huang Jiang Bian Stephen Lin Zhirong Wu AI4TS 75 5 0 11 Oct 2023
A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis Esteve Valls Mascaro Hyemin Ahn Dongheui Lee CVBM 75 7 0 14 Aug 2023
Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping Zhe Li Shiyi Qi Yiduo Li Zenglin Xu AI4TS 74 118 0 18 May 2023
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling Jiaxiang Dong Haixu Wu Haoran Zhang Li Zhang Jianmin Wang Mingsheng Long AI4TS 142 94 0 02 Feb 2023