Dissipation enhances neural surrogate learnability of open quantum dynamics in spin chains at intermediate sizes via contraction, but fidelity metrics must separate genuine dynamics from steady-state trivialization.
Dissecting neural odes
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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FNODE projects Neural ODE dynamics into the frequency domain via FFT and reports better generalization and convergence stability than GRUs, LSTMs, and ANODE on Lotka-Volterra, forced Duffing, Van der Pol, and Lorenz systems.
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Frequency-Domain Neural ODEs for Modeling Non-Linear Dynamical Systems
FNODE projects Neural ODE dynamics into the frequency domain via FFT and reports better generalization and convergence stability than GRUs, LSTMs, and ANODE on Lotka-Volterra, forced Duffing, Van der Pol, and Lorenz systems.