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06/12/2023
A Brief Review of Hypernetworks in Deep Learning
Hypernetworks, or hypernets in short, are neural networks that generate ...
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03/12/2022
Channel Estimation for Wideband MmWave MIMO OFDM System Exploiting Block Sparsity
In this letter, we investigate time-domain channel estimation for wideba...
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10/28/2019
Attenuating Random Noise in Seismic Data by a Deep Learning Approach
In the geophysical field, seismic noise attenuation has been considered ...
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09/13/2019
Enhancement of seismic imaging: An innovative deep learning approach
Enhancing the frequency bandwidth of the seismic data is always the purs...
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08/11/2019
Enhanced Seismic Imaging with Predictive Neural Networks for Geophysics
We propose a predictive neural network architecture that can be utilized...
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01/02/2019
Vector and Line Quantization for Billion-scale Similarity Search on GPUs
Billion-scale high-dimensional approximate nearest neighbour (ANN) searc...
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08/12/2017