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Model scale versus domain knowledge in statistical forecasting of
  chaotic systems

Model scale versus domain knowledge in statistical forecasting of chaotic systems

13 March 2023
W. Gilpin
    AI4TS
ArXivPDFHTML

Papers citing "Model scale versus domain knowledge in statistical forecasting of chaotic systems"

11 / 11 papers shown
Title
Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast
Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast
J. T. Wang
Jie Chao
S. M. I. Simon X. Yang
Congyi Nai
Kaijun Ren
...
Ziniu Xiao
Lifeng Zhang
Xiaodong Wang
Jiping Guan
Baoxiang Pan
37
0
0
07 May 2025
How more data can hurt: Instability and regularization in next-generation reservoir computing
How more data can hurt: Instability and regularization in next-generation reservoir computing
Yuanzhao Zhang
Edmilson Roque dos Santos
Sean P. Cornelius
77
2
0
28 Jan 2025
Zero-shot forecasting of chaotic systems
Zero-shot forecasting of chaotic systems
Yuanzhao Zhang
William Gilpin
AI4TS
37
4
0
24 Sep 2024
Machine Learning for Predicting Chaotic Systems
Machine Learning for Predicting Chaotic Systems
Christof Schötz
Alistair J R White
Maximilian Gelbrecht
Niklas Boers
AI4CE
22
4
0
29 Jul 2024
Machine-learning optimized measurements of chaotic dynamical systems via
  the information bottleneck
Machine-learning optimized measurements of chaotic dynamical systems via the information bottleneck
Kieran A. Murphy
Danielle Bassett
15
5
0
08 Nov 2023
Generative learning for nonlinear dynamics
Generative learning for nonlinear dynamics
William Gilpin
AI4CE
PINN
60
24
0
07 Nov 2023
NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems
NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems
Jason Yik
Korneel Van den Berghe
Douwe den Blanken
Younes Bouhadjar
Maxime Fabre
...
Fatima Tuz Zohora
Charlotte Frenkel
Vijay Janapa Reddi
Charlotte Frenkel
Vijay Janapa Reddi
23
17
0
10 Apr 2023
Benchmarking sparse system identification with low-dimensional chaos
Benchmarking sparse system identification with low-dimensional chaos
A. Kaptanoglu
Lanyue Zhang
Zachary G. Nicolaou
Urban Fasel
Steven L. Brunton
27
19
0
04 Feb 2023
Koopman Neural Forecaster for Time Series with Temporal Distribution
  Shifts
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts
Rui Wang
Yihe Dong
Sercan Ö. Arik
Rose Yu
AI4TS
25
22
0
07 Oct 2022
A Look at the Evaluation Setup of the M5 Forecasting Competition
A Look at the Evaluation Setup of the M5 Forecasting Competition
Hansika Hewamalage
Pablo Montero-Manso
Christoph Bergmeir
Rob J. Hyndman
57
3
0
08 Aug 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series
  Forecasting
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou
Shanghang Zhang
J. Peng
Shuai Zhang
Jianxin Li
Hui Xiong
Wan Zhang
AI4TS
164
3,799
0
14 Dec 2020
1