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Deborah Pereg
Deborah Pereg
MIT MechE & Harvard School of Engineering
Verified email at mit.edu
Title
Cited by
Cited by
Year
Sparse seismic deconvolution via recurrent neural network
D Pereg, I Cohen, AA Vassiliou
Journal of Applied Geophysics 175, 103979, 2020
122020
Multichannel sparse spike inversion
D Pereg, I Cohen, AA Vassiliou
Journal of Geophysics and Engineering 14 (5), 1290-1299, 2017
112017
Seismic signal recovery based on earth Q model
D Pereg, I Cohen
Signal Processing 137, 373-386, 2017
112017
Blind deconvolution via maximum kurtosis adaptive filtering
D Pereg, D Ben-Zvi
2016 IEEE International Conference on the Science of Electrical Engineering …, 2016
72016
Convolutional Sparse Coding Fast Approximation with Application to Seismic Reflectivity Estimation
AAV Deborah Pereg, Israel Cohen
IEEE transactions on Geoscience and Remote Sensing, 2021
5*2021
Three-dimensional sparse seismic deconvolution based on earth Q model
D Pereg, I Cohen, AA Vassiliou
Signal Processing 154, 97-107, 2019
52019
Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets
D Pereg, M Villiger, B Bouma, P Golland
https://arxiv.org/pdf/2209.14267.pdf, 2022
32022
Prestack time migration velocity analysis using recurrent neural networks
D Pereg, I Cohen, AA Vassiliou, R Stromberg
Journal of Applied Geophysics 181, 104160, 2020
32020
Information theoretic perspective on sample complexity
D Pereg
Neural Networks 167, 445-449, 2023
22023
Three-dimensional sparse seismic deconvolution based on Q attenuation model
D Pereg, I Cohen, AA Vassiliou
SEG Technical Program Expanded Abstracts 2018, 491-495, 2018
22018
Sparse seismic time-variant deconvolution using Q attenuation model
D Pereg, I Cohen, A Vassiliou
SEG Technical Program Expanded Abstracts 2017, 508-513, 2017
22017
Seismic Deconvolution Using Sparse Spike Inversion vs. Basis Pursuit Inversion
D Pereg, I Cohen, AA Vassiliou
https://pdfs.semanticscholar.org/363d/89963e4261ce81ce2c0eb6ccad96ffbe7b60.pdf, 2015
2*2015
Domain-Aware Few-Shot Learning for Optical Coherence Tomography Noise Reduction
D Pereg
Journal of Imaging, 2023
12023
Non-invasive Estimation of the Powder Size Distribution from a Single Speckle Image
Q Zhang, G Barbastathis, A Pandit, Z Liu, Z Guo, S Muddu, Y Wei, ...
2024
On the use of physics in machine learning for inspection and control of complex processes
G Barbastathis, Q Zhang, S Mondal, D Pereg
Computational Optical Imaging and Artificial Intelligence in Biomedical …, 2024
2024
On the use of physics in machine learning for imaging and quantifying complex processes
G Barbastathis, Q Zhang, R Braatz, A Myerson, C Papageorgiou, W Tang, ...
Bulletin of the American Physical Society, 2024
2024
Back to Basics: Fast Denoising Iterative Algorithm
D Pereg
https://arxiv.org/abs/2311.06634, 2023
2023
Sparse Seismic Deconvolution via Recurrent Neural Net
D Pereg, I Cohen, AA Vassiliou
Three-dimensional Seismic Imaging and Sparse Inversion 175, 38, 2020
2020
Sparse 3D Seismic Deconvolution based on Q-model
D Pereg, I Cohen, AA Vassiliou
Three-dimensional Seismic Imaging and Sparse Inversion, 89, 0
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Articles 1–19