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Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors

30 May 2023

Yong Liu

Papers citing "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors"

43 / 43 papers shown

Title
Non-stationary Diffusion For Probabilistic Time Series Forecasting Weiwei Ye Zhuopeng Xu Ning Gui DiffM 125 0 0 07 May 2025
FreCT: Frequency-augmented Convolutional Transformer for Robust Time Series Anomaly Detection Wenxin Zhang Ding Xu Guangzhen Yao Xiaojian Lin Renxiang Guan Chengze Du Renda Han Xi Xuan Cuicui Luo AI4TS 157 0 0 02 May 2025
Temporal Gaussian Copula For Clinical Multivariate Time Series Data Imputation Ye Su Hezhe Qiao Di Wu Yuwen Chen Lin Chen 69 0 0 03 Apr 2025
On the Surprising Effectiveness of Spectrum Clipping in Learning Stable Linear Dynamics Hanyao Guo Yunhai Han Harish Ravichandar 130 0 0 02 Dec 2024
LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting Guoqi Yu Yaoming Li Xiaoyu Guo Dayu Wang Zirui Liu Shujun Wang Tong Yang AI4TS 466 0 0 22 Oct 2024
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis Shiyu Wang Jiawei Li Xiaoming Shi Zhou Ye Baichuan Mo Wenze Lin Shengtong Ju Zhixuan Chu Ming Jin AI4TS 110 18 0 21 Oct 2024
Automated Detection of Defects on Metal Surfaces using Vision Transformers Toqa Alaa Mostafa Kotb Arwa Zakaria Mariam Diab Walid Gomaa 151 1 0 06 Oct 2024
Online Control-Informed Learning Zihao Liang Tianyu Zhou Zehui Lu Shaoshuai Mou 102 1 0 04 Oct 2024
Deep Koopman-layered Model with Universal Property Based on Toeplitz Matrices Yuka Hashimoto Tomoharu Iwata 74 0 0 03 Oct 2024
FTS: A Framework to Find a Faithful TimeSieve Songning Lai Ninghui Feng Haochen Sui Ze Ma Hao Wang Zichen Song Hang Zhao Yutao Yue AI4TS 153 17 0 30 May 2024
Multifactor Sequential Disentanglement via Structured Koopman Autoencoders Nimrod Berman Ilana D Naiman Omri Azencot CoGe 86 24 0 30 Mar 2023
Koopman neural operator as a mesh-free solver of non-linear partial differential equations Wei Xiong Xiaomeng Huang Ziyang Zhang Ruixuan Deng Pei Sun Yang Tian AI4CE 71 34 0 24 Jan 2023
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers Yuqi Nie Nam H. Nguyen Phanwadee Sinthong Jayant Kalagnanam AIFin AI4TS 108 1,423 0 27 Nov 2022
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts Rui Wang Yihe Dong Sercan O. Arik Rose Yu AI4TS 95 28 0 07 Oct 2022
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
Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures Tianze Zhang Yizhuo Zhang Wei Cao Jiang Bian Xiaohan Yi Shun Zheng Jian Li BDL AI4TS 155 171 0 04 Jul 2022
Are Transformers Effective for Time Series Forecasting? Ailing Zeng Mu-Hwa Chen L. Zhang Qiang Xu AI4TS 156 1,798 0 26 May 2022
Learning Fast and Slow for Online Time Series Forecasting Quang Pham Chenghao Liu Doyen Sahoo Guosheng Lin TTA AI4TS 51 35 0 23 Feb 2022
N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting Cristian Challu Kin G. Olivares Boris N. Oreshkin Federico Garza Max Mergenthaler-Canseco A. Dubrawski AI4TS 113 277 0 30 Jan 2022
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
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization Kartik Ahuja Ethan Caballero Dinghuai Zhang Jean-Christophe Gagnon-Audet Yoshua Bengio Ioannis Mitliagkas Irina Rish OOD 64 270 0 11 Jun 2021
Modern Koopman Theory for Dynamical Systems Steven L. Brunton M. Budišić E. Kaiser J. Nathan Kutz AI4CE 120 420 0 24 Feb 2021
Domain Adaptation for Time Series Forecasting via Attention Sharing Xiaoyong Jin Youngsuk Park Danielle C. Maddix Bernie Wang Xifeng Yan TTA OOD AI4TS 161 78 0 13 Feb 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 684 41,563 0 22 Oct 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
From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction Henning Lange Steven L. Brunton N. Kutz AI4TS 77 80 0 01 Apr 2020
Forecasting Sequential Data using Consistent Koopman Autoencoders Omri Azencot N. Benjamin Erichson Vanessa Lin Michael W. Mahoney AI4TS AI4CE 192 152 0 04 Mar 2020
Reformer: The Efficient Transformer Nikita Kitaev Lukasz Kaiser Anselm Levskaya VLM 209 2,335 0 13 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 568 42,677 0 03 Dec 2019
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting Boris N. Oreshkin Dmitri Carpov Nicolas Chapados Yoshua Bengio AI4TS 131 1,067 0 24 May 2019
Deep Dynamical Modeling and Control of Unsteady Fluid Flows Jeremy Morton F. Witherden A. Jameson Mykel J. Kochenderfer AI4CE 74 165 0 18 May 2018
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling Shaojie Bai J. Zico Kolter V. Koltun DRL 101 4,851 0 04 Mar 2018
Deep learning for universal linear embeddings of nonlinear dynamics Bethany Lusch J. Nathan Kutz Steven L. Brunton 81 1,261 0 27 Dec 2017
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition Naoya Takeishi Yoshinobu Kawahara Takehisa Yairi 51 374 0 12 Oct 2017
Deeper, Broader and Artier Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 132 1,453 0 09 Oct 2017
Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems Enoch Yeung Soumya Kundu Nathan Oken Hodas AI4CE 85 387 0 22 Aug 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 811 132,725 0 12 Jun 2017
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks David Salinas Valentin Flunkert Jan Gasthaus AI4TS UQCV BDL 96 2,134 0 13 Apr 2017
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks Guokun Lai Wei-Cheng Chang Yiming Yang Hanxiao Liu BDL AI4TS 115 2,027 0 21 Mar 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 374 7,587 0 02 Dec 2016
Instance Normalization: The Missing Ingredient for Fast Stylization Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky OOD 180 3,714 0 27 Jul 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks Ian Goodfellow M. Berk Mirza Xia Da Aaron Courville Yoshua Bengio 161 1,455 0 21 Dec 2013