112 citations · 125 across the 6 of their papers we have counts for
6 papers
A Brief Review of Hypernetworks in Deep Learning
Vinod Kumar Chauhan, Jiandong Zhou, Ping Lu +2
Hypernetworks, or hypernets for short, are neural networks that generate weights for another neural network, known as the target network. They have emerged as a powerful deep learn…
Attenuating Random Noise in Seismic Data by a Deep Learning Approach
Xing Zhao, Ping Lu, Yanyan Zhang +2
In the geophysical field, seismic noise attenuation has been considered as a critical and long-standing problem, especially for the pre-stack data processing. Here, we propose a mo…
Deep Learning Realm for Geophysics: Seismic Acquisition, Processing, Interpretation, and Inversion
Ping Lu
Applying deep-learning models to geophysical applications has attracted special attentions during the past a couple of years. There are several papers published in this domain invo…
Enhancement of seismic imaging: An innovative deep learning approach
Yanyan Zhang, Ping Lu, Hua Yu +1
Enhancing the frequency bandwidth of the seismic data is always the pursuance at the geophysical community. High resolution of seismic data provides the key resource to extract det…
Reservoir Characterizations by Deep-Learning Model: Detection of True Sand Thickness
Ping Lu, Yanyan Zhang, Hua Yu +1
It is an extremely challenging task to precisely identify the reservoir characteristics directly from seismic data due to its inherit nature. Here, we successfully design a deep-le…
Enhanced Seismic Imaging with Predictive Neural Networks for Geophysics
Ping Lu, Yanyan Zhang, Jianxiong Chen +2
We propose a predictive neural network architecture that can be utilized to update reference velocity models as inputs to the full waveform inversion. Deep learning models are expl…