:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Feng, Lingyu, Gao, Ting, Dai, Min, Duan, Jinqiao
Format:	Preprint
Published:	2022
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2205.04151
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Early warning indicators via latent stochastic dynamical systems
by: Feng, Lingyu, et al.
Published: (2023)

Nonlocal Kramers-Moyal formulas and data-driven discovery of stochastic dynamical systems with multiplicative Lévy noise
by: Li, Yang, et al.
Published: (2026)

An evolutionary approach for discovering non-Gaussian stochastic dynamical systems based on nonlocal Kramers-Moyal formulas
by: Li, Yang, et al.
Published: (2024)

Beyond Distance: Quantifying Point Cloud Dynamics with Persistent Homology and Dynamic Optimal Transport
by: Wang, Yixin, et al.
Published: (2026)

Multi-task Meta Label Correction for Time Series Prediction
by: Yang, Luxuan, et al.
Published: (2023)

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing
by: Cheng, Jiani, et al.
Published: (2025)

Stochastic parameter reduced-order model based on hybrid machine learning approaches
by: Fang, Cheng, et al.
Published: (2024)

Early Warning Prediction with Automatic Labeling in Epilepsy Patients
by: Zhang, Peng, et al.
Published: (2023)

Efficient Encrypted Computation in Convolutional Spiking Neural Networks with TFHE
by: Guo, Longfei, et al.
Published: (2026)

Data-driven stochastic reduced-order modeling of parametrized dynamical systems
by: Ilersich, Andrew F., et al.
Published: (2026)

Bifurcation formula for transition paths in stochastic dynamical systems by spectral flow
by: Duan, Jinqiao, et al.
Published: (2025)

Learning invariant representations of time-homogeneous stochastic dynamical systems
by: Kostic, Vladimir R., et al.
Published: (2023)

PromptAL: Sample-Aware Dynamic Soft Prompts for Few-Shot Active Learning
by: Xiang, Hui, et al.
Published: (2025)

Deep learning architectures for data-driven damage detection in nonlinear dynamic systems
by: Joseph, Harrish, et al.
Published: (2024)

End-to-end guarantees for indirect data-driven control of bilinear systems with finite stochastic data
by: Chatzikiriakos, Nicolas, et al.
Published: (2024)

A Generalized Learning Framework for Self-Supervised Contrastive Learning
by: Si, Lingyu, et al.
Published: (2025)

Deficiency of equation-finding approach to data-driven modeling of dynamical systems
by: Zhai, Zheng-Meng, et al.
Published: (2025)

Controlling dynamics of stochastic systems with deep reinforcement learning
by: Mukhamadiarov, Ruslan
Published: (2025)

Double projection for reconstructing dynamical systems: between stochastic and deterministic regimes
by: Sip, Viktor, et al.
Published: (2025)

Building causation links in stochastic nonlinear systems from data
by: Chibbaro, Sergio, et al.
Published: (2025)

Inferring stochastic dynamics with growth from cross-sectional data
by: Zhang, Stephen, et al.
Published: (2025)

Flow-based Bayesian filtering for high-dimensional nonlinear stochastic dynamical systems
by: Wang, Xintong, et al.
Published: (2025)

Training-free score-based diffusion for parameter-dependent stochastic dynamical systems
by: Yang, Minglei, et al.
Published: (2026)

Data-driven multiscale modeling for correcting dynamical systems
by: Otness, Karl, et al.
Published: (2023)

Diffusion Model Conditioning on Gaussian Mixture Model and Negative Gaussian Mixture Gradient
by: Lu, Weiguo, et al.
Published: (2024)

Data-driven identification of nonlinear dynamical systems with LSTM autoencoders and Normalizing Flows
by: Rostamijavanani, Abdolvahhab, et al.
Published: (2025)

Discovering stochastic dynamical equations from biological time series data
by: Nabeel, Arshed, et al.
Published: (2022)

NeuronSeek: On Stability and Expressivity of Task-driven Neurons
by: Pei, Hanyu, et al.
Published: (2025)

Learning dynamical systems from data: Gradient-based dictionary optimization
by: Tabish, Mohammad, et al.
Published: (2024)

Data-driven system identification using quadratic embeddings of nonlinear dynamics
by: Klus, Stefan, et al.
Published: (2025)

Scalable learning of macroscopic stochastic dynamics
by: Chen, Mengyi, et al.
Published: (2025)

Equation-informed data-driven identification of flow budgets and dynamics
by: Sevryugina, Nataliya, et al.
Published: (2024)

Discovering equations from data: symbolic regression in dynamical systems
by: Brum, Beatriz R., et al.
Published: (2025)

Simulation-based inference for stochastic nonlinear mixed-effects models with applications in systems biology
by: Häggström, Henrik, et al.
Published: (2025)

SafEDMD: A Koopman-based data-driven controller design framework for nonlinear dynamical systems
by: Strässer, Robin, et al.
Published: (2024)

SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models
by: He, Jinghan, et al.
Published: (2024)

Mixed Policy Gradient: off-policy reinforcement learning driven jointly by data and model
by: Guan, Yang, et al.
Published: (2021)

Knowledge-data fusion oriented traffic state estimation: A stochastic physics-informed deep learning approach
by: Wang, Ting, et al.
Published: (2024)

FNODE: Flow-Matching for data-driven simulation of constrained multibody systems
by: Wang, Hongyu, et al.
Published: (2025)

Quantum-data-driven dynamical transition in quantum learning
by: Zhang, Bingzhi, et al.
Published: (2024)