Saved in:
| Main Authors: | Zhu, Qunxi, Zhao, Bolin, Zhang, Jingdong, Li, Peiyang, Lin, Wei |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.16694 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fast and principled equation discovery from chaos to climate
by: Zhang, Yuzheng, et al.
Published: (2026)
by: Zhang, Yuzheng, et al.
Published: (2026)
Learning Hamiltonian neural Koopman operator and simultaneously sustaining and discovering conservation law
by: Zhang, Jingdong, et al.
Published: (2024)
by: Zhang, Jingdong, et al.
Published: (2024)
Mapping correlations and coherence: adjacency-based approach to data visualization and regularity discovery
by: Li, Guang-Xing
Published: (2025)
by: Li, Guang-Xing
Published: (2025)
Sparse identification of quasipotentials via a combined data-driven method
by: Lin, Bo, et al.
Published: (2024)
by: Lin, Bo, et al.
Published: (2024)
Single-snapshot machine learning for super-resolution of turbulence
by: Fukami, Kai, et al.
Published: (2024)
by: Fukami, Kai, et al.
Published: (2024)
Learning Macroscopic Dynamics from Partial Microscopic Observations
by: Chen, Mengyi, et al.
Published: (2024)
by: Chen, Mengyi, et al.
Published: (2024)
Learning Beyond Experience: Generalizing to Unseen State Space with Reservoir Computing
by: Norton, Declan A., et al.
Published: (2025)
by: Norton, Declan A., et al.
Published: (2025)
Nonlocal Kramers-Moyal formulas and data-driven discovery of stochastic dynamical systems with multiplicative Lévy noise
by: Li, Yang, et al.
Published: (2026)
by: Li, Yang, et al.
Published: (2026)
One-shot learning for the complex dynamical behaviors of weakly nonlinear forced oscillators
by: Ma, Teng, et al.
Published: (2026)
by: Ma, Teng, et al.
Published: (2026)
Second-Order Mirror Descent: Convergence in Games Beyond Averaging and Discounting
by: Gao, Bolin, et al.
Published: (2021)
by: Gao, Bolin, et al.
Published: (2021)
Invariant Measures in Time-Delay Coordinates for Unique Dynamical System Identification
by: Botvinick-Greenhouse, Jonah, et al.
Published: (2024)
by: Botvinick-Greenhouse, Jonah, et al.
Published: (2024)
Higher order quantum reservoir computing for non-intrusive reduced-order models
by: Jain, Vinamr, et al.
Published: (2024)
by: Jain, Vinamr, et al.
Published: (2024)
Homotopy-based training of NeuralODEs for accurate dynamics discovery
by: Ko, Joon-Hyuk, et al.
Published: (2022)
by: Ko, Joon-Hyuk, et al.
Published: (2022)
Machine learning identifies nullclines in oscillatory dynamical systems
by: Prokop, Bartosz, et al.
Published: (2025)
by: Prokop, Bartosz, et al.
Published: (2025)
Deep Learning of Solver-Aware Turbulence Closures from Nudged LES Dynamics
by: Suriyanarayanan, Ashwin, et al.
Published: (2026)
by: Suriyanarayanan, Ashwin, et al.
Published: (2026)
Hierarchy of extreme-event predictability in turbulence revealed by machine learning
by: Yang, Yuxuan, et al.
Published: (2026)
by: Yang, Yuxuan, et al.
Published: (2026)
LES-SINDy: Laplace-Enhanced Sparse Identification of Nonlinear Dynamical Systems
by: Zheng, Haoyang, et al.
Published: (2024)
by: Zheng, Haoyang, et al.
Published: (2024)
From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems
by: Li, Xin, et al.
Published: (2024)
by: Li, Xin, et al.
Published: (2024)
Automated Global Analysis of Experimental Dynamics through Low-Dimensional Linear Embeddings
by: Moore, Samuel A., et al.
Published: (2024)
by: Moore, Samuel A., et al.
Published: (2024)
SINDy on slow manifolds
by: Delgado-Cano, Diemen, et al.
Published: (2025)
by: Delgado-Cano, Diemen, et al.
Published: (2025)
Stochastic and Non-local Closure Modeling for Nonlinear Dynamical Systems via Latent Score-based Generative Models
by: Dong, Xinghao, et al.
Published: (2025)
by: Dong, Xinghao, et al.
Published: (2025)
Data Denoising and Derivative Estimation for Data-Driven Modeling of Nonlinear Dynamical Systems
by: Yao, Jiaqi, et al.
Published: (2025)
by: Yao, Jiaqi, et al.
Published: (2025)
Synergizing Transport-Based Generative Models and Latent Geometry for Stochastic Closure Modeling
by: Dong, Xinghao, et al.
Published: (2026)
by: Dong, Xinghao, et al.
Published: (2026)
Fast and Flexible Probabilistic Forecasting of Dynamical Systems using Flow Matching and Physical Perturbation
by: Rout, Siddharth, et al.
Published: (2025)
by: Rout, Siddharth, et al.
Published: (2025)
Consistent Projection of Langevin Dynamics: Preserving Thermodynamics and Kinetics in Coarse-Grained Models
by: Nateghi, Vahid, et al.
Published: (2025)
by: Nateghi, Vahid, et al.
Published: (2025)
PySHRED: A Python package for SHallow REcurrent Decoding for sparse sensing, model reduction and scientific discovery
by: Ye, David, et al.
Published: (2025)
by: Ye, David, et al.
Published: (2025)
Error estimation for physics-informed neural networks with implicit Runge-Kutta methods
by: Stiasny, Jochen, et al.
Published: (2024)
by: Stiasny, Jochen, et al.
Published: (2024)
Dynamical systems and complex networks: A Koopman operator perspective
by: Klus, Stefan, et al.
Published: (2024)
by: Klus, Stefan, et al.
Published: (2024)
Enhancing generalizability of model discovery across parameter space with multi-experiment equation learning (ME-EQL)
by: Ciocanel, Maria-Veronica, et al.
Published: (2025)
by: Ciocanel, Maria-Veronica, et al.
Published: (2025)
Deficiency of equation-finding approach to data-driven modeling of dynamical systems
by: Zhai, Zheng-Meng, et al.
Published: (2025)
by: Zhai, Zheng-Meng, et al.
Published: (2025)
Leveraging KANs For Enhanced Deep Koopman Operator Discovery
by: Nehma, George, et al.
Published: (2024)
by: Nehma, George, et al.
Published: (2024)
Learning dynamical systems from data: A simple cross-validation perspective, part III: Irregularly-Sampled Time Series
by: Lee, Jonghyeon, et al.
Published: (2021)
by: Lee, Jonghyeon, et al.
Published: (2021)
Probabilistic function-on-function nonlinear autoregressive model for emulation and reliability analysis of dynamical systems
by: Song, Zhouzhou, et al.
Published: (2026)
by: Song, Zhouzhou, et al.
Published: (2026)
Probabilistic Forecasting for Dynamical Systems with Missing or Imperfect Data
by: Rout, Siddharth, et al.
Published: (2025)
by: Rout, Siddharth, et al.
Published: (2025)
Uni-Flow: a unified autoregressive-diffusion model for complex multiscale flows
by: Xue, Xiao, et al.
Published: (2026)
by: Xue, Xiao, et al.
Published: (2026)
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator
by: Dong, Xinghao, et al.
Published: (2024)
by: Dong, Xinghao, et al.
Published: (2024)
Multi evolutional deep neural networks (Multi-EDNN)
by: Kim, Hadden, et al.
Published: (2024)
by: Kim, Hadden, et al.
Published: (2024)
Streaming Operator Inference for Model Reduction of Large-Scale Dynamical Systems
by: Koike, Tomoki, et al.
Published: (2026)
by: Koike, Tomoki, et al.
Published: (2026)
Neural Integral Equations
by: Zappala, Emanuele, et al.
Published: (2022)
by: Zappala, Emanuele, et al.
Published: (2022)
Physics-Informed Boundary Integral Networks (PIBI-Nets): A Data-Driven Approach for Solving Partial Differential Equations
by: Nagy-Huber, Monika, et al.
Published: (2023)
by: Nagy-Huber, Monika, et al.
Published: (2023)
Similar Items
-
Fast and principled equation discovery from chaos to climate
by: Zhang, Yuzheng, et al.
Published: (2026) -
Learning Hamiltonian neural Koopman operator and simultaneously sustaining and discovering conservation law
by: Zhang, Jingdong, et al.
Published: (2024) -
Mapping correlations and coherence: adjacency-based approach to data visualization and regularity discovery
by: Li, Guang-Xing
Published: (2025) -
Sparse identification of quasipotentials via a combined data-driven method
by: Lin, Bo, et al.
Published: (2024) -
Single-snapshot machine learning for super-resolution of turbulence
by: Fukami, Kai, et al.
Published: (2024)