Applying DDDAS Principles for Realizing Optimized and Robust Deep Learning Models at the Edge - researchr publication authors

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Robert Canady, Xingyu Zhou 0010, Yogesh D. Barve, Daniel Balasubramanian, Aniruddha Gokhale. Applying DDDAS Principles for Realizing Optimized and Robust Deep Learning Models at the Edge. In Erik Blasch, Frederica Darema, Alex Aved, editors, Dynamic Data Driven Applications Systems - 4th International Conference, DDDAS 2022, Cambridge, MA, USA, October 6-10, 2022, Proceedings. Volume 13984 of Lecture Notes in Computer Science, pages 325-339, Springer, 2022. [doi]

This author has not been identified. Look up 'Robert Canady' in GoogleThis author has not been identified. Look up 'Xingyu Zhou 0010' in GoogleThis author has not been identified. Look up 'Yogesh D. Barve' in GoogleThis author has not been identified. It may be one of the following persons:

Daniel Balasubramanian

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