Time-SSM: Simplifying and Unifying State Space Models for Time Series
Forecasting

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Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting

25 May 2024

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Papers citing "Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting"

18 / 18 papers shown

Title
MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection Ali Behrouz Michele Santacatterina Ramin Zabih 111 33 0 29 Mar 2024
TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting Md Atik Ahamed Qiang Cheng Mamba AI4TS 116 53 0 14 Mar 2024
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting Yong Liu Tengge Hu Haoran Zhang Haixu Wu Shiyu Wang Lintao Ma Mingsheng Long AI4TS 130 548 0 10 Oct 2023
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Ming Jin Shiyu Wang Lintao Ma Zhixuan Chu James Y. Zhang ... Pin-Yu Chen Yuxuan Liang Yuan-Fang Li Shirui Pan Qingsong Wen AI4TS 121 415 0 03 Oct 2023
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors Yong Liu Chenyu Li Jianmin Wang Mingsheng Long AI4TS 88 119 0 30 May 2023
Effectively Modeling Time Series with Simple Discrete State Spaces Michael Zhang Khaled Kamal Saab Michael Poli Tri Dao Karan Goel Christopher Ré AI4TS 64 47 0 16 Mar 2023
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis Haixu Wu Teng Hu Yong Liu Hang Zhou Jianmin Wang Mingsheng Long AI4TS AIFin 148 826 0 05 Oct 2022
How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections Albert Gu Isys Johnson Aman Timalsina Atri Rudra Christopher Ré Mamba 175 101 0 24 Jun 2022
On the Parameterization and Initialization of Diagonal State Space Models Albert Gu Ankit Gupta Karan Goel Christopher Ré 93 326 0 23 Jun 2022
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting Amin Shabani A. Abdi Li Meng Tristan Sylvain AI4TS 100 63 0 08 Jun 2022
Diagonal State Spaces are as Effective as Structured State Spaces Ankit Gupta Albert Gu Jonathan Berant 122 312 0 27 Mar 2022
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting Tian Zhou Ziqing Ma Qingsong Wen Xue Wang Liang Sun Rong Jin AI4TS 256 1,458 0 30 Jan 2022
Multiwavelet-based Operator Learning for Differential Equations Gaurav Gupta Xiongye Xiao P. Bogdan 198 220 0 28 Sep 2021
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting Haixu Wu Jiehui Xu Jianmin Wang Mingsheng Long AI4TS 113 2,320 0 24 Jun 2021
Long Range Arena: A Benchmark for Efficient Transformers Yi Tay Mostafa Dehghani Samira Abnar Songlin Yang Dara Bahri Philip Pham J. Rao Liu Yang Sebastian Ruder Donald Metzler 160 730 0 08 Nov 2020
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 514 2,456 0 18 Oct 2020
HiPPO: Recurrent Memory with Optimal Polynomial Projections Albert Gu Tri Dao Stefano Ermon Atri Rudra Christopher Ré 134 536 0 17 Aug 2020
Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group Mario Lezcano Casado David Martínez-Rubio 50 200 0 24 Jan 2019

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