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06/06/2023
Modulation Classification Through Deep Learning Using Resolution Transformed Spectrograms
Modulation classification is an essential step of signal processing and ...
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03/21/2023
Universal Approximation Property of Hamiltonian Deep Neural Networks
This paper investigates the universal approximation capabilities of Hami...
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11/11/2022
Physically Consistent Neural ODEs for Learning Multi-Physics Systems
Despite the immense success of neural networks in modeling system dynami...
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03/22/2022
On Robust Classification using Contractive Hamiltonian Neural ODEs
Deep neural networks can be fragile and sensitive to small input perturb...
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12/16/2021
