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Modeling Wind Loading on Low-Rise Buildings in Urban Environments: Leveraging Large-Eddy Simulations and Deep Neural Networks to Quantify Interference Effects
Modeling Wind Loading on Low-Rise Buildings in Urban Environments: Leveraging Large-Eddy Simulations and Deep Neural Networks to Quantify Interference Effects
Vargiemezis, Themistoklis. | Stanford University | 2024
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2
Statistical Physics of Gradient Descent in High-Dimensions: From Coherent Ising Machines to Neural Networks
Statistical Physics of Gradient Descent in High-Dimensions: From Coherent Ising Machines to Neural Networks
Yamamura, Atsushi. | Stanford University | 2025
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Physical Neural Networks Using Acoustics and Photonics : <html><head><meta name='ValidationSchema' content='http://www.w3.org/2002/08/xhtml/xhtml1-strict.xsd'/><title></title></head><body>Physikalische Neuronale Netze mit akustischen und photonischen Systemen</body></html>
Physical Neural Networks Using Acoustics and Photonics : <html><head><meta name='ValidationSchema' content='http://www.w3.org/2002/08/xhtml/xhtml1-strict.xsd'/><title></title></head><body>Physikalische Neuronale Netze mit akustischen und photonischen Systemen</body></html>
Stein, Martin | Cornell University | 2024
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4
Understanding Dynamics in Intelligent Systems: Control and Learning in Neural Circuits and Artificial Neural Networks
Understanding Dynamics in Intelligent Systems: Control and Learning in Neural Circuits and Artificial Neural Networks
Chen, Feng. | Stanford University | 2025
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5
Efficient AI Stack: Deployment-Aware Neural Architecture Search and Serving of Deep Neural Networks
Efficient AI Stack: Deployment-Aware Neural Architecture Search and Serving of Deep Neural Networks
Khare, Alind. | Georgia Institute of Technology | 2024
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6
Algorithmic Statistical Learning and Causality Pursuit Using Neural Networks
Algorithmic Statistical Learning and Causality Pursuit Using Neural Networks
Gu, Yihong. | Princeton University | 2025
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7
Odors as ''Natural Language'': Sparse Neural Networks in Mammalian Olfactory Systems and Large Language Models
Odors as ''Natural Language'': Sparse Neural Networks in Mammalian Olfactory Systems and Large Language Models
Liu, Bo. | Harvard University | 2025
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8
Statistical Learning Theory of Deep Neural Networks: A Generalization Viewpoint
Statistical Learning Theory of Deep Neural Networks: A Generalization Viewpoint
Zhou, Tian-Yi. | Georgia Institute of Technology | 2025
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9
Temporal Intelligence in Spiking Neural Networks: A New Framework for Learning and Adaptation
Temporal Intelligence in Spiking Neural Networks: A New Framework for Learning and Adaptation
Chakraborty, Biswadeep. | Georgia Institute of Technology | 2025
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10
Predictive Calibration for Digital Sun Sensors Using Sparse Submanifold Convolutional Neural Networks
Predictive Calibration for Digital Sun Sensors Using Sparse Submanifold Convolutional Neural Networks
Herman, Michael. | Georgia Institute of Technology | 2025
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