Cover Image

Adaptive Diffusion Posterior Sampling for Data and Model Fusion of Complex Nonlinear Dynamical Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chakraborty, Dibyajyoti, Kim, Hojin, Maulik, Romit
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Chaotic Dynamics Fluid Dynamics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Interpretable Diagnostics and Adaptive Data Assimilation for Neural ODEs via Discrete Empirical Interpolation
by: Kim, Hojin, et al.
Published: (2025)

Binned Spectral Power Loss for Improved Prediction of Chaotic Systems
by: Chakraborty, Dibyajyoti, et al.
Published: (2025)

Deep Learning of Solver-Aware Turbulence Closures from Nudged LES Dynamics
by: Suriyanarayanan, Ashwin, et al.
Published: (2026)

Differentiable Turbulence: Closure as a partial differential equation constrained optimization
by: Shankar, Varun, et al.
Published: (2023)

Interpretable A-posteriori Error Indication for Graph Neural Network Surrogate Models
by: Barwey, Shivam, et al.
Published: (2023)

Data-driven Mori-Zwanzig modeling of Lagrangian particle dynamics in turbulent flows
by: de Wit, Xander, et al.
Published: (2025)

Generalizable data-driven turbulence closure modeling on unstructured grids with differentiable physics
by: Kim, Hojin, et al.
Published: (2023)

Data-Driven Reduced-Complexity Modeling of Fluid Flows: A Community Challenge
by: Schmidt, Oliver T., et al.
Published: (2026)

A note on the error analysis of data-driven closure models for large eddy simulations of turbulence
by: Chakraborty, Dibyajyoti, et al.
Published: (2024)

Identifying recurrent flows in high-dimensional dissipative chaos from low-dimensional embeddings
by: Beck, Pierre, et al.
Published: (2026)

Fourier neural operators for spatiotemporal dynamics in two-dimensional turbulence
by: Atif, Mohammad, et al.
Published: (2024)

Machine Learning based Ensemble Flame Regime Classification for Mesoscale Combustors based on Insights from Linear and Nonlinear Dynamic Analysis
by: Ganesh, M Ashwin, et al.
Published: (2026)

Turbulence Scaling from Deep Learning Diffusion Generative Models
by: Whittaker, Tim, et al.
Published: (2023)

Stochastic Reconstruction of Gappy Lagrangian Turbulent Signals by Conditional Diffusion Models
by: Li, Tianyi, et al.
Published: (2024)

Revealing Structure and Symmetry of Nonlinearity in Natural and Engineering Flows
by: Yeung, Brandon, et al.
Published: (2024)

Nonlinear phase synchronization and the role of spacing in shell models
by: Manfredini, Lorenzo, et al.
Published: (2025)

Multi-Scale Data Assimilation in Turbulent Models
by: Fossella, Francesco, et al.
Published: (2025)

Adaptive spectral proper orthogonal decomposition of tonal flows
by: Yeung, Brandon C. Y., et al.
Published: (2023)

Complex-time singular structure of the 1D Hou-Luo model
by: Rampf, Cornelius, et al.
Published: (2026)

Semiclassical Structure of the Advection--Diffusion Spectrum in Mixed Phase Spaces
by: Amey, Christopher, et al.
Published: (2026)

Complex network approach to the turbulent velocity gradient dynamics: High- and low-probability Lagrangian paths
by: Keylock, Christopher J., et al.
Published: (2024)

Dynamics of small bubbles in turbulence in non-dilute conditions
by: de Wit, Xander M., et al.
Published: (2025)

Physics-Guided Actor-Critic Reinforcement Learning for Swimming in Turbulence
by: Koh, Christopher, et al.
Published: (2024)

Order and Chaos in Systems of Coaxial Vortex Pairs
by: Mavroyiakoumou, Christiana, et al.
Published: (2025)

Dynamic behavior of shear-thickening fluids under harmonic excitation: an experimental investigation
by: Rezaei, Mohammad Parsa, et al.
Published: (2025)

Higher order quantum reservoir computing for non-intrusive reduced-order models
by: Jain, Vinamr, et al.
Published: (2024)

Data-driven prediction of reversal of large-scale circulation in turbulent convection
by: Katsumi, Daigaku, et al.
Published: (2025)

Communities for the Lagrangian Dynamics of the Turbulent Velocity Gradient Tensor: A Network Participation Approach
by: Keylock, Christopher J., et al.
Published: (2024)

Active Soft-Impact Oscillator: Dynamics of a Walking Droplet in a Non-Smooth Potential
by: Mukherjee, Titir, et al.
Published: (2026)

Data-driven prediction of large-scale spatiotemporal chaos with distributed low-dimensional models
by: Constante-Amores, C. Ricardo, et al.
Published: (2024)

Resolvent-Based Optimisation for Approximating the Statistics of a Chaotic Lorenz System
by: Burton, Thomas, et al.
Published: (2024)

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models
by: Raut, Riddhiman, et al.
Published: (2025)

Hierarchy of extreme-event predictability in turbulence revealed by machine learning
by: Yang, Yuxuan, et al.
Published: (2026)

Joint Reduced Model for the Laminar and Chaotic Attractors in Plane Couette Flow
by: Kaszás, Bálint, et al.
Published: (2025)

Lagrangian Ellipsoid Diagnostics for Stochastic Hydrodynamics: Source--Sink Modeling of Deforming Particle Clouds
by: Chertkov, Michael
Published: (2026)

Reservoir Computing with a Single Oscillating Gas Bubble: Emphasizing the Chaotic Regime
by: Abdel-Ghani, Hend, et al.
Published: (2025)

Equilibrium statistical mechanics of waves in inhomogeneous moving media
by: Tlili, Alexandre, et al.
Published: (2026)

Is it true that no mathematical relation exists between the Navier-Stokes equations and the multifractal model?
by: Gibbon, John D., et al.
Published: (2026)

Causally coherent structures in turbulent dynamical systems
by: Massaro, Daniele, et al.
Published: (2026)

From synthetic turbulence to true solutions: A deep diffusion model for discovering periodic orbits in the Navier-Stokes equations
by: Parker, Jeremy P, et al.
Published: (2026)