Deep-learning enabled generalized inverse design of multi-port radio-frequency and sub-terahertz passives and integrated circuits - Nature Communications
cuDNN: Efficient Primitives for Deep Learning
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An Overview of Environmental Features that Impact Deep Reinforcement Learning in Sparse-Reward Domains | Journal of Artificial Intelligence Research
A deep-learning search for technosignatures of 820 nearby stars
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