A Bayesian sparse identification framework using model averaging recovers interaction structures in dynamical systems with quantified uncertainty in term inclusion.
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3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 3verdicts
UNVERDICTED 3representative citing papers
Superconducting qubit experiments reveal a non-ergodic glassy regime in a 2D disordered spin model, with power-law Hilbert-space dynamics, frozen degrees of freedom, and vanishing spin diffusion above a disorder threshold.
Local loops on Husimi trees reduce the critical disorder for Anderson localization and increase the spatial extent of localized eigenstates, providing a better single-particle analogy for many-body localization.
citing papers explorer
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Uncertainty-Aware Sparse Identification of Dynamical Systems via Bayesian Model Averaging
A Bayesian sparse identification framework using model averaging recovers interaction structures in dynamical systems with quantified uncertainty in term inclusion.
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Hilbert space signatures of non-ergodic glassy dynamics
Superconducting qubit experiments reveal a non-ergodic glassy regime in a 2D disordered spin model, with power-law Hilbert-space dynamics, frozen degrees of freedom, and vanishing spin diffusion above a disorder threshold.
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Anderson Localization on Husimi Trees and its implications for Many-Body localization
Local loops on Husimi trees reduce the critical disorder for Anderson localization and increase the spatial extent of localized eigenstates, providing a better single-particle analogy for many-body localization.