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20242026
most citedPTPI-DL-ROMs: pre-trained physics-informed deep learning-based reduced order models for nonlinear parametrized PDEs

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cs.LG2026

Multi-Fidelity SINDy: Sparse Discovery of Nonlinear Dynamical Systems with Fidelity-Weighted Measurements

Filippo Zacchei, Ana Larrañaga, Attilio Frangi +2

Data from simulations and experiments are rarely noise-free and often exhibit heterogeneous levels of fidelity. Measurement uncertainty may vary across repeated observations, sensi…

cs.LG2025

HypeRL: Hypernetwork-Based Reinforcement Learning for Control of Parametrized Dynamical Systems

Nicolò Botteghi, Stefania Fresca, Mengwu Guo +1

In this work, we devise a new, general-purpose reinforcement learning strategy for the optimal control of parametric dynamical systems. Such problems frequently arise in applied sc…