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31
Prediction and Mechanistic Dissection of Transcriptional Activation Domains Using Deep Learning and Pooled Screening.
Prediction and Mechanistic Dissection of Transcriptional Activation Domains Using Deep Learning and Pooled Screening.
Sanborn, Adrian Longson. | Stanford University. | 2021
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32
Analysis of Quantization and Normalization Effects in Deep Neural Networks.
Analysis of Quantization and Normalization Effects in Deep Neural Networks.
Chai, Elaina Teresa. | Stanford University. | 2021
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33
Topics in Optimization and Learning.
Topics in Optimization and Learning.
Bohorquez, Cindy Catherine Orozco . | Stanford University. | 2021
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34
Integrating Physical and Data-Driven Perspectives on Building Energy Performance: A Tale of Two Cities.
Integrating Physical and Data-Driven Perspectives on Building Energy Performance: A Tale of Two Cities.
Nutkiewicz, Alexandra Ilana. | Stanford University. | 2021
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35
Deep Learning Tools to Accelerate Knee Osteoarthritis Research.
Deep Learning Tools to Accelerate Knee Osteoarthritis Research.
Thomas, Kevin. | Stanford University. | 2021
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36
Discovery of Novel Low Dimensional and Photocathode Materials Using Materials Data and Simulations.
Discovery of Novel Low Dimensional and Photocathode Materials Using Materials Data and Simulations.
Antoniuk, Evan Ronald William. | Stanford University. | 2021
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37
Algorithmic Techniques for Neural Network Training on Memory-Constrained Hardware.
Algorithmic Techniques for Neural Network Training on Memory-Constrained Hardware.
Gural, Albert. | Stanford University. | 2021
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38
Colloidal Physics Modeling of Biomolecular Behavior to Enable Cell Building.
Colloidal Physics Modeling of Biomolecular Behavior to Enable Cell Building.
Maheshwari, Akshay J. . | Stanford University. | 2021
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39
Full-Field Analysis: A Machine Learning Approach.
Full-Field Analysis: A Machine Learning Approach.
Alakeely, Abdullah Ahmed. | Stanford University. | 2021
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40
Techniques for Mapping Deep Neural Network Frameworks to Programmable Accelerators.
Techniques for Mapping Deep Neural Network Frameworks to Programmable Accelerators.
Hadjis, Stefan. | Stanford University. | 2021
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