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06/12/2023
Differentiable Multi-Fidelity Fusion: Efficient Learning of Physics Simulations with Neural Architecture Search and Transfer Learning
With rapid progress in deep learning, neural networks have been widely u...
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07/23/2021
Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations
Deep learning has an increasing impact to assist research, allowing, for...
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06/14/2019
U2Fi: A Provisioning Scheme of IoT Devices with Universal Cryptographic Tokens
Provisioning is the starting point of the whole life-cycle of IoT device...
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08/29/2016
