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1
Resilient GPS Positioning Using Deep Neural Networks and Sensor Fusion With Factor Graph Optimization.
Resilient GPS Positioning Using Deep Neural Networks and Sensor Fusion With Factor Graph Optimization.
Ashwin Vivek Kanhere. | Stanford University. | 2024
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Tracker Instrumentation for the Mu2e Experiment and Track Reconstruction With Deep Neural Networks- [electronic resource]
Tracker Instrumentation for the Mu2e Experiment and Track Reconstruction With Deep Neural Networks- [electronic resource]
Ciampa, Kate.Physics. | University of Minnesota. | 2023
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3
Efficient Low-Resource Training With Pre-Trained Deep Neural Networks- [electronic resource]
Efficient Low-Resource Training With Pre-Trained Deep Neural Networks- [electronic resource]
Wang, Rui.Electrical and Computer Engineering. | Duke University. | 2023
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4
Increasing Model Accuracy, System Efficiency and Data Security of Distributed Computing for Deep Neural Networks- [electronic resource]
Increasing Model Accuracy, System Efficiency and Data Security of Distributed Computing for Deep Neural Networks- [electronic resource]
Dong, Xin.Engineering and Applied Sciences - Compu | Harvard University. | 2023
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Training Deep Neural Networks With In-Memory Computing- [electronic resource]
Training Deep Neural Networks With In-Memory Computing- [electronic resource]
Grimm, Christopher L., Jr.Electrical and Computer | Princeton University. | 2023
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6
Compression and Curriculum Strategies for Efficient Learning in Deep Neural Networks.
Compression and Curriculum Strategies for Efficient Learning in Deep Neural Networks.
Ganesh, Madan Ravi.Electrical and Computer Enginee | University of Michigan. | 2022
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7
Data-Driven Learning of Dynamical Systems via Deep Neural Networks.
Data-Driven Learning of Dynamical Systems via Deep Neural Networks.
Fu, Xiaohan.Statistics. | The Ohio State University. | 2022
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8
Enabling Full-Stack DNN Accelerator Design and Evaluation on Synthesizable Hardware.
Enabling Full-Stack DNN Accelerator Design and Evaluation on Synthesizable Hardware.
Genc, Hasan Nazim.Computer Science. | University of California, Berkeley. | 2024
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Advances in Intuitive Priors and Scalable Algorithms for Bayesian Deep Neural Network Models in Scientific Applications.
Advances in Intuitive Priors and Scalable Algorithms for Bayesian Deep Neural Network Models in Scientific Applications.
Hauth, Jeremiah M. A.Mechanical Engineering. | University of Michigan. | 2024
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Integrated AI Security and Efficiency: Trustworthiness, Trojan Detection, and Performance Acceleration.
Integrated AI Security and Efficiency: Trustworthiness, Trojan Detection, and Performance Acceleration.
Zhang, Xinqiao.Electrical and Computer Engineering | University of California, San Diego. | 2024
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