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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
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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4
Compiler Support for Deep Learning Accelerators: End-to-End Evaluation and Data Access Optimization.
Compiler Support for Deep Learning Accelerators: End-to-End Evaluation and Data Access Optimization.
Li, Yi.Electrical and Computer Engineering. | Princeton University. | 2024
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5
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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6
Towards Causally-Aware Dynamical System Prediction.
Towards Causally-Aware Dynamical System Prediction.
Jiang, Song.Computer Science 0201. | University of California, Los Angeles. | 2024
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7
Continual Learning on Speech and Audio: Towards Data, Model and Metrics.
Continual Learning on Speech and Audio: Towards Data, Model and Metrics.
Yang, Muqiao.Electrical and Computer Engineering. | Carnegie Mellon University. | 2024
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