ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2301.10321
  4. Cited By
Learning Dynamical Systems from Data: A Simple Cross-Validation
  Perspective, Part V: Sparse Kernel Flows for 132 Chaotic Dynamical Systems
v1v2 (latest)

Learning Dynamical Systems from Data: A Simple Cross-Validation Perspective, Part V: Sparse Kernel Flows for 132 Chaotic Dynamical Systems

24 January 2023
L. Yang
Xiuwen Sun
B. Hamzi
H. Owhadi
Nai-ming Xie
ArXiv (abs)PDFHTML

Papers citing "Learning Dynamical Systems from Data: A Simple Cross-Validation Perspective, Part V: Sparse Kernel Flows for 132 Chaotic Dynamical Systems"

13 / 13 papers shown
Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learning
Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learning
Yuanzhao Zhang
William Gilpin
AI4TS
347
6
0
16 May 2025
Gaussian process policy iteration with additive Schwarz acceleration for forward and inverse HJB and mean field game problems
Gaussian process policy iteration with additive Schwarz acceleration for forward and inverse HJB and mean field game problems
Xianjin Yang
Jingguo Zhang
219
2
0
01 May 2025
Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators: Algorithms and Error Analysis
Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators: Algorithms and Error Analysis
Yasamin Jalalian
Juan Felipe Osorio Ramirez
Alexander W. Hsu
Bamdad Hosseini
H. Owhadi
513
8
0
02 Mar 2025
Kernel Methods for the Approximation of the Eigenfunctions of the
  Koopman Operator
Kernel Methods for the Approximation of the Eigenfunctions of the Koopman Operator
Jonghyeon Lee
B. Hamzi
Boya Hou
H. Owhadi
G. Santin
Umesh Vaidya
387
11
0
21 Dec 2024
A scalable generative model for dynamical system reconstruction from
  neuroimaging data
A scalable generative model for dynamical system reconstruction from neuroimaging dataNeural Information Processing Systems (NeurIPS), 2024
Eric Volkmann
Alena Brändle
Daniel Durstewitz
G. Koppe
AI4CE
240
7
0
05 Nov 2024
Zero-shot forecasting of chaotic systems
Zero-shot forecasting of chaotic systemsInternational Conference on Learning Representations (ICLR), 2024
Yuanzhao Zhang
William Gilpin
AI4TS
771
22
0
24 Sep 2024
Kernel Sum of Squares for Data Adapted Kernel Learning of Dynamical
  Systems from Data: A global optimization approach
Kernel Sum of Squares for Data Adapted Kernel Learning of Dynamical Systems from Data: A global optimization approach
Daniel Lengyel
P. Parpas
B. Hamzi
H. Owhadi
242
7
0
12 Aug 2024
Recurrent Deep Kernel Learning of Dynamical Systems
Recurrent Deep Kernel Learning of Dynamical Systems
N. Botteghi
Paolo Motta
Andrea Manzoni
P. Zunino
Mengwu Guo
319
1
0
30 May 2024
Nearest Neighbors GParareal: Improving Scalability of Gaussian Processes
  for Parallel-in-Time Solvers
Nearest Neighbors GParareal: Improving Scalability of Gaussian Processes for Parallel-in-Time Solvers
Guglielmo Gattiglio
Lyudmila Grigoryeva
M. Tamborrino
284
2
0
20 May 2024
Out-of-Domain Generalization in Dynamical Systems Reconstruction
Out-of-Domain Generalization in Dynamical Systems Reconstruction
Niclas Alexander Göring
Florian Hess
Manuel Brenner
Zahra Monfared
Daniel Durstewitz
AI4CE
422
30
0
28 Feb 2024
Decoding Mean Field Games from Population and Environment Observations
  By Gaussian Processes
Decoding Mean Field Games from Population and Environment Observations By Gaussian ProcessesJournal of Computational Physics (JCP), 2023
Jinyan Guo
Chenchen Mou
Xianjin Yang
Chao Zhou
AI4CE
315
9
0
08 Dec 2023
Bridging Algorithmic Information Theory and Machine Learning: A New
  Approach to Kernel Learning
Bridging Algorithmic Information Theory and Machine Learning: A New Approach to Kernel Learning
B. Hamzi
Marcus Hutter
H. Owhadi
395
5
0
21 Nov 2023
Integrating Multimodal Data for Joint Generative Modeling of Complex
  Dynamics
Integrating Multimodal Data for Joint Generative Modeling of Complex DynamicsInternational Conference on Machine Learning (ICML), 2022
Manuela Brenner
Florian Hess
G. Koppe
Daniel Durstewitz
545
16
0
15 Dec 2022
1
Page 1 of 1