Zero-shot forecasting of chaotic systems

24 September 2024

Papers citing "Zero-shot forecasting of chaotic systems"

50 / 72 papers shown

Title
Panda: A pretrained forecast model for universal representation of chaotic dynamics Jeffrey Lai Anthony Bao William Gilpin AI4TS AI4CE 85 0 0 19 May 2025
True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics Christoph Jürgen Hemmer Daniel Durstewitz AI4TS SyDa AI4CE 285 1 0 19 May 2025
How more data can hurt: Instability and regularization in next-generation reservoir computing Yuanzhao Zhang Edmilson Roque dos Santos Sean P. Cornelius 141 2 0 28 Jan 2025
Reconstructing dynamics from sparse observations with no training on target system Zheng-Meng Zhai Jun-Yin Huang Benjamin D. Stern Y. Lai 56 1 0 28 Oct 2024
Toward Physics-guided Time Series Embedding Jiaxi Hu Bowen Zhang Qingsong Wen Fugee Tsung Yuxuan Liang AI4TS AI4CE 63 4 0 09 Oct 2024
ECG-FM: An Open Electrocardiogram Foundation Model Kaden McKeen Laura Oliva Augustin Toma Barry Rubin Barry Rubin 51 19 0 09 Aug 2024
Machine Learning for Predicting Chaotic Systems Christof Schötz Alistair J R White Maximilian Gelbrecht Niklas Boers AI4CE 51 4 0 29 Jul 2024
Are Language Models Actually Useful for Time Series Forecasting? Mingtian Tan Mike A. Merrill Vinayak Gupta Tim Althoff Thomas Hartvigsen AI4TS 87 61 0 22 Jun 2024
In-context Time Series Predictor Jiecheng Lu Yan Sun Shihao Yang AI4TS 51 5 0 23 May 2024
Low-Rank Adaptation of Time Series Foundational Models for Out-of-Domain Modality Forecasting Divij Gupta Anubhav Bhatti Surajsinh Parmar Chen Dan Yuwei Liu Bingjie Shen San Lee AI4TS 66 3 0 16 May 2024
FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model Zezheng Song Jiaxin Yuan Haizhao Yang AI4CE 77 18 0 23 Apr 2024
Foundation Models for Time Series Analysis: A Tutorial and Survey Yuxuan Liang Haomin Wen Yuqi Nie Yushan Jiang Ming Jin Dongjin Song Shirui Pan Qingsong Wen AI4TS AI4CE 132 140 0 21 Mar 2024
Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs Md Ashiqur Rahman Robert Joseph George Mogab Elleithy Daniel Leibovici Zong-Yi Li ... Julius Berner Raymond A. Yeh Jean Kossaifi Kamyar Azizzadenesheli A. Anandkumar AI4CE 84 22 0 19 Mar 2024
Out-of-Domain Generalization in Dynamical Systems Reconstruction Niclas Alexander Göring Florian Hess Manuel Brenner Zahra Monfared Daniel Durstewitz AI4CE 72 16 0 28 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 94 141 0 06 Feb 2024
Unified Training of Universal Time Series Forecasting Transformers Gerald Woo Chenghao Liu Akshat Kumar Caiming Xiong Silvio Savarese Doyen Sahoo AI4TS 149 194 0 04 Feb 2024
LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law Toni J. B. Liu Nicolas Boullé Raphaël Sarfati Christopher Earls AI4TS 69 18 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 83 20 0 25 Jan 2024
Generative learning for nonlinear dynamics William Gilpin AI4CE PINN 82 27 0 07 Nov 2023
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting Samuel Dooley Gurnoor Singh Khurana Chirag Mohapatra Siddartha Naidu Colin White AI4TS 115 66 0 03 Nov 2023
Large Language Models Are Zero-Shot Time Series Forecasters Nate Gruver Marc Finzi Shikai Qiu Andrew Gordon Wilson AI4TS 83 359 0 11 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 102 398 0 03 Oct 2023
Neural Operators for Accelerating Scientific Simulations and Design Kamyar Azzizadenesheli Nikola B. Kovachki Zong-Yi Li Miguel Liu-Schiaffini Jean Kossaifi Anima Anandkumar AI4CE 90 148 0 27 Sep 2023
Generalized Teacher Forcing for Learning Chaotic Dynamics Florian Hess Zahra Monfared Manuela Brenner Daniel Durstewitz AI4CE 228 35 0 07 Jun 2023
Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior Shashank Subramanian P. Harrington Kurt Keutzer W. Bhimji Dmitriy Morozov Michael W. Mahoney A. Gholami AI4CE 81 77 0 01 Jun 2023
Long-term Forecasting with TiDE: Time-series Dense Encoder Abhimanyu Das Weihao Kong Andrew B. Leach Shaan Mathur Rajat Sen Rose Yu AI4TS 79 269 0 17 Apr 2023
In-Context Operator Learning with Data Prompts for Differential Equation Problems Liu Yang Siting Liu Tingwei Meng Stanley J. Osher 98 64 0 17 Apr 2023
Model scale versus domain knowledge in statistical forecasting of chaotic systems W. Gilpin AI4TS 60 22 0 13 Mar 2023
Recurrences reveal shared causal drivers of complex time series W. Gilpin CML AI4TS 50 8 0 31 Jan 2023
ClimaX: A foundation model for weather and climate Tung Nguyen Johannes Brandstetter Ashish Kapoor Jayesh K. Gupta Aditya Grover AI4Cl AI4CE 69 261 0 24 Jan 2023
Learning Dynamical Systems from Data: A Simple Cross-Validation Perspective, Part V: Sparse Kernel Flows for 132 Chaotic Dynamical Systems L. Yang Xiuwen Sun B. Hamzi H. Owhadi Nai-ming Xie 60 20 0 24 Jan 2023
Transformers as Algorithms: Generalization and Stability in In-context Learning Yingcong Li M. E. Ildiz Dimitris Papailiopoulos Samet Oymak 71 170 0 17 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 85 1,368 0 27 Nov 2022
Catch-22s of reservoir computing Yuanzhao Zhang Sean P. Cornelius 47 13 0 18 Oct 2022
PDEBENCH: An Extensive Benchmark for Scientific Machine Learning M. Takamoto T. Praditia Raphael Leiteritz Dan MacKinlay Francesco Alesiani Dirk Pflüger Mathias Niepert AI4CE 65 230 0 13 Oct 2022
PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting Hao Xue Flora D.Salim AI4TS 99 160 0 20 Sep 2022
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems Manuela Brenner Florian Hess Jonas M. Mikhaeil Leonard Bereska Zahra Monfared Po-Chen Kuo Daniel Durstewitz AI4CE 261 32 0 06 Jul 2022
Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting Yong Liu Haixu Wu Jianmin Wang Mingsheng Long AI4TS 58 410 0 28 May 2022
Are Transformers Effective for Time Series Forecasting? Ailing Zeng Mu-Hwa Chen L. Zhang Qiang Xu AI4TS 149 1,740 0 26 May 2022
Towards Understanding Grokking: An Effective Theory of Representation Learning Ziming Liu O. Kitouni Niklas Nolte Eric J. Michaud Max Tegmark Mike Williams AI4CE 86 152 0 20 May 2022
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution Ananya Kumar Aditi Raghunathan Robbie Jones Tengyu Ma Percy Liang OODD 117 674 0 21 Feb 2022
Learning continuous models for continuous physics Aditi S. Krishnapriyan A. Queiruga N. Benjamin Erichson Michael W. Mahoney AI4CE 78 34 0 17 Feb 2022
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting Tian Zhou Ziqing Ma Qingsong Wen Xue Wang Liang Sun Rong Jin AI4TS 238 1,410 0 30 Jan 2022
Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets Alethea Power Yuri Burda Harrison Edwards Igor Babuschkin Vedant Misra 80 359 0 06 Jan 2022
An Explanation of In-context Learning as Implicit Bayesian Inference Sang Michael Xie Aditi Raghunathan Percy Liang Tengyu Ma ReLM BDL VPVLM LRM 195 751 0 03 Nov 2021
On the difficulty of learning chaotic dynamics with RNNs Jonas M. Mikhaeil Zahra Monfared Daniel Durstewitz 118 57 0 14 Oct 2021
Chaos as an interpretable benchmark for forecasting and data-driven modelling W. Gilpin AI4TS 53 80 0 11 Oct 2021
Darts: User-Friendly Modern Machine Learning for Time Series J. Herzen Francesco Lässig Samuele Giuliano Piazzetta T. Neuer Léo Tafti ... Mounir Benheddi Camila Williamson Michal Kosinskihttps://www.semanticscholar.org/me/account M. Petrik Gaël Grosch AI4TS 180 221 0 07 Oct 2021
A Framework for Machine Learning of Model Error in Dynamical Systems Matthew E. Levine Andrew M. Stuart 63 69 0 14 Jul 2021
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 439 10,328 0 17 Jun 2021