Cover Image

BINDy -- Bayesian identification of nonlinear dynamics with reversible-jump Markov-chain Monte-Carlo

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Champneys, Max D., Rogers, Timothy J.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Dynamical Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A new perspective on Bayesian Operational Modal Analysis
by: O'Connell, Brandon J., et al.
Published: (2024)

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

Sparse identification of nonlinear dynamics with library optimization mechanism: Recursive long-term prediction perspective
by: Yonezawa, Ansei, et al.
Published: (2025)

Sparse identification of nonlinear dynamics and Koopman operators with Shallow Recurrent Decoder Networks
by: Gao, Mars Liyao, et al.
Published: (2025)

Probabilistic Numeric SMC Sampling for Bayesian Nonlinear System Identification in Continuous Time
by: Longbottom, Joe D., et al.
Published: (2024)

tLaSDI: Thermodynamics-informed latent space dynamics identification
by: Park, Jun Sur Richard, et al.
Published: (2024)

Baseline Results for Selected Nonlinear System Identification Benchmarks
by: Champneys, Max D., et al.
Published: (2024)

Resonances in reflective Hamiltonian Monte Carlo
by: Kroupa, Namu, et al.
Published: (2025)

Bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics
by: Kouw, Wouter M., et al.
Published: (2024)

Identifying the nonlinear string dynamics with port-Hamiltonian neural networks
by: Linares, Maximino, et al.
Published: (2026)

One-shot learning for the complex dynamical behaviors of weakly nonlinear forced oscillators
by: Ma, Teng, et al.
Published: (2026)

Data-driven model order reduction for structures with piecewise linear nonlinearity using dynamic mode decomposition
by: Saito, Akira, et al.
Published: (2026)

Multiple-input, multiple-output modal testing of a Hawk T1A aircraft: A new full-scale dataset for structural health monitoring
by: Wilson, James, et al.
Published: (2024)

Rapid Bayesian identification of sparse nonlinear dynamics from scarce and noisy data
by: Fung, Lloyd, et al.
Published: (2024)

Reservoir computing for system identification and predictive control with limited data
by: Williams, Jan P., et al.
Published: (2024)

Mori-Zwanzig latent space Koopman closure for nonlinear autoencoder
by: Gupta, Priyam, et al.
Published: (2023)

Probabilistic function-on-function nonlinear autoregressive model for emulation and reliability analysis of dynamical systems
by: Song, Zhouzhou, et al.
Published: (2026)

Bayesian dynamic mode decomposition for real-time ship motion digital twinning
by: Palma, Giorgio, et al.
Published: (2024)

Parametric Taylor series based latent dynamics identification neural networks
by: Lin, Xinlei, et al.
Published: (2024)

Automatic feature identification in least-squares policy iteration using the Koopman operator framework
by: Zagabe, Christian Mugisho, et al.
Published: (2026)

Data-driven forced response analysis with min-max representations of nonlinear restoring forces
by: Saito, Akira, et al.
Published: (2026)

Compression of the Koopman matrix for nonlinear physical models via hierarchical clustering
by: Nishikata, Tomoya, et al.
Published: (2024)

A Bayesian Framework for Symmetry Inference in Chaotic Attractors
by: Ghanem, Ziad, et al.
Published: (2025)

Machine Learning for the identification of phase-transitions in interacting agent-based systems: a Desai-Zwanzig example
by: Evangelou, Nikolaos, et al.
Published: (2023)

Sparse identification of quasipotentials via a combined data-driven method
by: Lin, Bo, et al.
Published: (2024)

Synchronization on circles and spheres with nonlinear interactions
by: Criscitiello, Christopher, et al.
Published: (2024)

Weak-form modified sparse identification of nonlinear dynamics
by: López, Cristian, et al.
Published: (2024)

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

A Sparse Bayesian Learning Algorithm for Estimation of Interaction Kernels in Motsch-Tadmor Model
by: Feng, Jinchao, et al.
Published: (2025)

Stabilization of nonlinear systems with unknown delays via delay-adaptive neural operator approximate predictors
by: Bhan, Luke, et al.
Published: (2025)

Energy-based dual-phase dynamics identification of clearance nonlinearities
by: López, Cristian, et al.
Published: (2024)

On the Stability of a non-hyperbolic nonlinear map with non-bounded set of non-isolated fixed points with applications to Machine Learning
by: Hansen, Roberta, et al.
Published: (2024)

Control of dynamical systems with neural networks
by: Böttcher, Lucas
Published: (2025)

Deep learning for model correction of dynamical systems with data scarcity
by: Tatsuoka, Caroline, et al.
Published: (2024)

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

The Recurrent Sticky Hierarchical Dirichlet Process Hidden Markov Model
by: Słupiński, Mikołaj, et al.
Published: (2024)

Explicit construction of recurrent neural networks effectively approximating discrete dynamical systems
by: Nakayama, Chikara, et al.
Published: (2024)

Let's do the time-warp-attend: Learning topological invariants of dynamical systems
by: Moriel, Noa, et al.
Published: (2023)

Recovering the state and dynamics of autonomous system with partial states solution using neural networks
by: Kag, Vijay
Published: (2024)

Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modeling
by: Galioto, Nicholas, et al.
Published: (2024)