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cs.LG2026
PE-MHL: Physics-Encoded Modular Hybrid Layers for Scalable Learning of Complex Systems
Ismail Hassaballa, Mircea Lazar
Hybrid models that combine physics-based and data-driven components have shown strong potential for achieving accuracy and interpretability in control applications. While recent me…
cs.LG2025
A Unified Representation of Neural Networks Architectures
Christophe Prieur, Mircea Lazar, Bogdan Robu
In this paper we consider the limiting case of neural networks (NNs) architectures when the number of neurons in each hidden layer and the number of hidden layers tend to infinity…