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Time series data are ubiquitous across a wide range of real-world domains.
Time-series active search for quick retrieval of audio and video
Kunio Kashino, Gavin Smith, and Hiroshi Murase · 1999
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A spatial-temporal modeling approach to reconstructing land-cover change trajectories from multi-temporal satellite imagery
Desheng Liu and Shanshan Cai · 2012
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Distributed representations of sentences and documents
Quoc Le and Tomas Mikolov · 2014
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Financial news dataset from bloomberg and reuters
Xiao Ding Philippe Remy · 2015
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Fine-grained sentiment analysis on financial microblogs and news headlines
Mattia Atzeni, Amna Dridi, and Diego Reforgiato Recupero · 2017
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Semeval-2017 task 5: Fine-grained sentiment analysis on financial microblogs and news
Keith Cortis, André Freitas, Tobias Daudert, Manuela Huerlimann, Manel Zarrouk, Siegfried Handschuh, and Brian Davis · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Recurrent neural networks for multivariate time series with missing values
Zhengping Che, Sanjay Purushotham, Kyunghyun Cho, David Sontag, and Yan Liu · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Deepant: A deep learning approach for unsupervised anomaly detection in time series
Mohsin Munir, Shoaib Ahmed Siddiqui, Andreas Dengel, and Sheraz Ahmed · 2018
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Stock movement prediction from tweets and historical prices
Yumo Xu and Shay B Cohen · 2018
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Stock movement prediction from tweets and historical prices
Yumo Xu and Shay B Cohen · 2018
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Anomaly detection for iot time-series data: A survey
Andrew A Cook, Göksel Mısırlı, and Zhong Fan · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al · 2019
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Combining time-series and textual data for taxi demand prediction in event areas: A deep learning approach
Filipe Rodrigues, Ioulia Markou, and Francisco C Pereira · 2019
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Huggingface’s transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, et al · 2019
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Analyzing rare event, anomaly, novelty and outlier detection terms under the supervised classification framework
Ander Carreño, Iñaki Inza, and Jose A Lozano · 2020
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Gp-vae: Deep probabilistic time series imputation
Vincent Fortuin, Dmitry Baranchuk, Gunnar Rätsch, and Stephan Mandt · 2020
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Reformer: The efficient transformer
Nikita Kitaev, Łukasz Kaiser, and Anselm Levskaya · 2020
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Financial time series forecasting with deep learning: A systematic literature review: 2005–2019
Omer Berat Sezer, Mehmet Ugur Gudelek, and Ahmet Murat Ozbayoglu · 2020
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Timeseries anomaly detection using temporal hierarchical one-class network
Lifeng Shen, Zhuocong Li, and James Kwok · 2020
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Missing value imputation on multidimensional time series
Parikshit Bansal, Prathamesh Deshpande, and Sunita Sarawagi · 2021
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A review on outlier/anomaly detection in time series data
Ane Blázquez-García, Angel Conde, Usue Mori, and Jose A Lozano · 2021
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Leveraging latent economic concepts and sentiments in the news for market prediction
Saeede Anbaee Farimani, Majid Vafaei Jahan, Amin Milani Fard, and Gholamreza Haffari · 2021
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When in doubt: Neural non-parametric uncertainty quantification for epidemic forecasting
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodriguez, Chao Zhang, and B Aditya Prakash · 2021
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Temporal fusion transformers for interpretable multi-horizon time series forecasting
Bryan Lim, Sercan Ö Arık, Nicolas Loeff, and Tomas Pfister · 2021
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Signed graph neural network with latent groups
Haoxin Liu, Ziwei Zhang, Peng Cui, Yafeng Zhang, Qiang Cui, Jiashuo Liu, and Wenwu Zhu · 2021
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Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting
Shizhan Liu, Hang Yu, Cong Liao, Jianguo Li, Weiyao Lin, Alex X Liu, and Schahram Dustdar · 2021
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Actionable insights in urban multivariate time-series
Anika Tabassum, Supriya Chinthavali, Varisara Tansakul, and B. Aditya Prakash · 2021
Cited alongside, same era.
Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting
Haixu Wu, Jiehui Xu, Jianmin Wang, and Mingsheng Long · 2021
Cited alongside, same era.
Anomaly transformer: Time series anomaly detection with association discrepancy
Jiehui Xu, Haixu Wu, Jianmin Wang, and Mingsheng Long · 2021
Cited alongside, same era.
Informer: Beyond efficient transformer for long sequence time-series forecasting
Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, and Wancai Zhang · 2021
Cited alongside, same era.
Non-stationary transformers: Exploring the stationarity in time series forecasting
Yong Liu, Haixu Wu, Jianmin Wang, and Mingsheng Long · 2022
Cited alongside, same era.
Timesnet: Temporal 2d-variation modeling for general time series analysis
Haixu Wu, Tengge Hu, Yong Liu, Hang Zhou, Jianmin Wang, and Mingsheng Long · 2023
Later among the works it cites.
Temporal data meets llm–explainable financial time series forecasting
Xinli Yu, Zheng Chen, Yuan Ling, Shujing Dong, Zongyi Liu, and Yanbin Lu · 2023
Later among the works it cites.
Are transformers effective for time series forecasting?
Ailing Zeng, Muxi Chen, Lei Zhang, and Qiang Xu · 2023
Later among the works it cites.
Performative time-series forecasting
Zhiyuan Zhao, Alexander Rodriguez, and B Aditya Prakash · 2023
Later among the works it cites.
Chronos: Learning the language of time series
Abdul Fatir Ansari, Lorenzo Stella, Caner Turkmen, Xiyuan Zhang, Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram, Sebastian Pineda Arango, Shubham Kapoor, et al · 2024
alphaXiv searches the wider corpus for related work and actual follow-ups.
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Yuqi Nie, Nam H Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam · 2022
Cited alongside, same era.
Flava: A foundational language and vision alignment model
Amanpreet Singh, Ronghang Hu, Vedanuj Goswami, Guillaume Couairon, Wojciech Galuba, Marcus Rohrbach, and Douwe Kiela · 2022
Cited alongside, same era.
Sentfin 1.0: Entity-aware sentiment analysis for financial news
Ankur Sinha, Satishwar Kedas, Rishu Kumar, and Pekka Malo · 2022
Cited alongside, same era.
Micn: Multi-scale local and global context modeling for long-term series forecasting
Huiqiang Wang, Jian Peng, Feihu Huang, Jince Wang, Junhui Chen, and Yifei Xiao · 2022
Cited alongside, same era.
Etsformer: Exponential smoothing transformers for time-series forecasting. arxiv 2022
G Woo, C Liu, D Sahoo, A Kumar, and S Hoi · 2022
Cited alongside, same era.
Less is more: Fast multivariate time series forecasting with light sampling-oriented mlp structures
Tianping Zhang, Yizhuo Zhang, Wei Cao, Jiang Bian, Xiaohan Yi, Shun Zheng, and Jian Li · 2022
Cited alongside, same era.
Towards unsupervised domain generalization
Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, and Haoxin Liu · 2022
Cited alongside, same era.
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A decoder-only foundation model for time-series forecasting
Abhimanyu Das, Weihao Kong, Rajat Sen, and Yichen Zhou · 2024
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Fnspid: A comprehensive financial news dataset in time series
Zihan Dong, Xinyu Fan, and Zhiyuan Peng · 2024
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Tsi-bench: Benchmarking time series imputation
Wenjie Du, Jun Wang, Linglong Qian, Yiyuan Yang, Fanxing Liu, Zepu Wang, Zina Ibrahim, Haoxin Liu, Zhiyuan Zhao, Yingjie Zhou, et al · 2024
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Learning universal policies via text-guided video generation
Yilun Du, Sherry Yang, Bo Dai, Hanjun Dai, Ofir Nachum, Josh Tenenbaum, Dale Schuurmans, and Pieter Abbeel · 2024
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Large language models are zero-shot time series forecasters
Nate Gruver, Marc Finzi, Shikai Qiu, and Andrew G Wilson · 2024
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Gpt4mts: Prompt-based large language model for multimodal time-series forecasting
Furong Jia, Kevin Wang, Yixiang Zheng, Defu Cao, and Yan Liu · 2024
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Better to ask in english: Cross-lingual evaluation of large language models for healthcare queries
Yiqiao Jin, Mohit Chandra, Gaurav Verma, Yibo Hu, Munmun De Choudhury, and Srijan Kumar · 2024
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Mm-soc: Benchmarking multimodal large language models in social media platforms
Yiqiao Jin, Minje Choi, Gaurav Verma, Jindong Wang, and Srijan Kumar · 2024
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Agentreview: Exploring peer review dynamics with llm agents
Yiqiao Jin, Qinlin Zhao, Yiyang Wang, Hao Chen, Kaijie Zhu, Yijia Xiao, and Jindong Wang · 2024
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Large pre-trained time series models for cross-domain time series analysis tasks
Harshavardhan Kamarthi and B Aditya Prakash · 2024
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Frozen language model helps ecg zero-shot learning
Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, and Shenda Hong · 2024
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Time-series forecasting for out-of-distribution generalization using invariant learning
Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong, Zhiyuan Zhao, Chao Zhang, B Aditya Prakash, et al · 2024
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LSTPrompt: Large language models as zero-shot time series forecasters by long-short-term prompting
Haoxin Liu, Zhiyuan Zhao, Jindong Wang, Harshavardhan Kamarthi, and B Aditya Prakash · 2024
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Koopa: Learning non-stationary time series dynamics with koopman predictors
Yong Liu, Chenyu Li, Jianmin Wang, and Mingsheng Long · 2024
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Timer: Generative pre-trained transformers are large time series models
Yong Liu, Haoran Zhang, Chenyu Li, Xiangdong Huang, Jianmin Wang, and Mingsheng Long · 2024
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Amortized equation discovery in hybrid dynamical systems
Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, and Stratis Gavves · 2024
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Are language models actually useful for time series forecasting?
Mingtian Tan, Mike A Merrill, Vinayak Gupta, Tim Althoff, and Thomas Hartvigsen · 2024
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Timemixer: Decomposable multiscale mixing for time series forecasting
Shiyu Wang, Haixu Wu, Xiaoming Shi, Tengge Hu, Huakun Luo, Lintao Ma, James Y Zhang, and Jun Zhou · 2024
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Unified training of universal time series forecasting transformers
Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, and Doyen Sahoo · 2024
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Make-your-video: Customized video generation using textual and structural guidance
Jinbo Xing, Menghan Xia, Yuxin Liu, Yuechen Zhang, Y He, H Liu, H Chen, X Cun, X Wang, Y Shan, et al · 2024
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Frequency-domain mlps are more effective learners in time series forecasting
Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, and Zhendong Niu · 2024
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Self-supervised learning for time series analysis: Taxonomy, progress, and prospects
Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Y Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, et al · 2024
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