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05/09/2023
Recursions Are All You Need: Towards Efficient Deep Unfolding Networks
The use of deep unfolding networks in compressive sensing (CS) has seen ...
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07/14/2021
Meta-Optimization of Deep CNN for Image Denoising Using LSTM
The recent application of deep learning (DL) to various tasks has seen t...
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06/28/2020
Spatiotemporal Modeling of Seismic Images for Acoustic Impedance Estimation
Seismic inversion refers to the process of estimating reservoir rock pro...
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03/16/2020
Fabric Surface Characterization: Assessment of Deep Learning-based Texture Representations Using a Challenging Dataset
Tactile sensing or fabric hand plays a critical role in an individual's ...
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08/19/2019
Semi-supervised Sequence Modeling for Elastic Impedance Inversion
Recent applications of machine learning algorithms in the seismic domain...
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01/24/2019
Petrophysical property estimation from seismic data using recurrent neural networks
Reservoir characterization involves the estimation petrophysical propert...
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01/12/2019
A Machine Learning Benchmark for Facies Classification
The recent interest in using deep learning for seismic interpretation ta...
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12/19/2018