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cs.LG2026
Hardware-Oriented Inference Complexity of Kolmogorov-Arnold Networks
Bilal Khalid, Pedro Freire, Sergei K. Turitsyn +1
Kolmogorov-Arnold Networks (KANs) have recently emerged as a powerful architecture for various machine learning applications. However, their unique structure raises significant con…
cs.LG2024
Improving Analog Neural Network Robustness: A Noise-Agnostic Approach with Explainable Regularizations
Alice Duque, Pedro Freire, Egor Manuylovich +3
This work tackles the critical challenge of mitigating "hardware noise" in deep analog neural networks, a major obstacle in advancing analog signal processing devices. We propose a…