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Abstract: Deep neural networks have been applied successfully to a wide variety of inverse problems arising in computational imaging. These networks are typically trained using a forward model that ...

An inverse floater’s coupon rate moves inversely with a benchmark rate, adjusting payments as interest rates change. These financial instruments are often issued by governments or corporations to ...

This work describes deep-learning-enabled inverse design of multi-port electromagnetic (EM) structures co-designed with circuits that can enable the synthesis of novel high-frequency on-chip passives ...