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Anand Raghunathan

Showing results (1-10 of 8) with videos related to

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IEEE Transactions on Biomedical Circuits and Systems|January 30, 2014
MedMon: securing medical devices through wireless monitoring and anomaly detectionMeng Zhang, Anand Raghunathan, Niraj K Jha
Frontiers in Neuroscience|August 2, 2021
Probabilistic Spike Propagation for Efficient Hardware Implementation of Spiking Neural NetworksAbinand Nallathambi, Sanchari Sen, Anand Raghunathan, et al.
Frontiers in Neuroscience|January 28, 2022
Accelerating DNN Training Through Selective Localized LearningSarada Krithivasan, Sanchari Sen, Swagath Venkataramani, et al.
Frontiers in Artificial Intelligence|October 2, 2024
MixTrain: accelerating DNN training via input mixingSarada Krithivasan, Sanchari Sen, Swagath Venkataramani, et al.
Frontiers in Artificial Intelligence|October 21, 2024
LRMP: Layer Replication with Mixed Precision for spatial in-memory DNN acceleratorsAbinand Nallathambi, Christin David Bose, Wilfried Haensch, et al.
IEEE Journal of Biomedical and Health Informatics|August 6, 2014
Systematic Poisoning Attacks on and Defenses for Machine Learning in HealthcareMehran Mozaffari-Kermani, Susmita Sur-Kolay, Anand Raghunathan, et al.
Advanced Materials (Deerfield Beach, Fla.)|December 29, 2022
Compute in-Memory with Non-Volatile Elements for Neural Networks: A Review from a Co-Design PerspectiveWilfried Haensch, Anand Raghunathan, Kaushik Roy, et al.
Proceedings of the Annual Conference of the Prognostics and Health Management Society. Prognostics and Health Management Society. Conference|July 1, 2017
Measurement Science for Prognostics and Health Management for Smart Manufacturing Systems: Key Findings from a Roadmapping WorkshopBrian A Weiss, Gregory Vogl, Moneer Helu, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Biomedical Circuits and Systems|January 30, 2014
MedMon: securing medical devices through wireless monitoring and anomaly detectionMeng Zhang, Anand Raghunathan, Niraj K Jha
Frontiers in Neuroscience|August 2, 2021
Probabilistic Spike Propagation for Efficient Hardware Implementation of Spiking Neural NetworksAbinand Nallathambi, Sanchari Sen, Anand Raghunathan, et al.
Frontiers in Neuroscience|January 28, 2022
Accelerating DNN Training Through Selective Localized LearningSarada Krithivasan, Sanchari Sen, Swagath Venkataramani, et al.
Frontiers in Artificial Intelligence|October 2, 2024
MixTrain: accelerating DNN training via input mixingSarada Krithivasan, Sanchari Sen, Swagath Venkataramani, et al.
Frontiers in Artificial Intelligence|October 21, 2024
LRMP: Layer Replication with Mixed Precision for spatial in-memory DNN acceleratorsAbinand Nallathambi, Christin David Bose, Wilfried Haensch, et al.
IEEE Journal of Biomedical and Health Informatics|August 6, 2014
Systematic Poisoning Attacks on and Defenses for Machine Learning in HealthcareMehran Mozaffari-Kermani, Susmita Sur-Kolay, Anand Raghunathan, et al.
Advanced Materials (Deerfield Beach, Fla.)|December 29, 2022
Compute in-Memory with Non-Volatile Elements for Neural Networks: A Review from a Co-Design PerspectiveWilfried Haensch, Anand Raghunathan, Kaushik Roy, et al.
Proceedings of the Annual Conference of the Prognostics and Health Management Society. Prognostics and Health Management Society. Conference|July 1, 2017
Measurement Science for Prognostics and Health Management for Smart Manufacturing Systems: Key Findings from a Roadmapping WorkshopBrian A Weiss, Gregory Vogl, Moneer Helu, et al.
Pageof 1