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1
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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2
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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3
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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4
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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5
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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6
Low-Power Localization Systems with Hardware-Efficient Deep Neural Networks- [electronic resource]
Low-Power Localization Systems with Hardware-Efficient Deep Neural Networks- [electronic resource]
Chen, Yu.Electrical and Computer Engineering. | University of Michigan. | 2023
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7
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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8
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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9
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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10
Effective Training and Efficient Inference of Deep Neural Networks for Visual Understanding.
Effective Training and Efficient Inference of Deep Neural Networks for Visual Understanding.
Li, Hengduo.Computer Science. | University of Maryland, College Park. | 2022
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