Deep Preconditioners and their application to seismic wavefield processing

20 July 2022

Papers citing "Deep Preconditioners and their application to seismic wavefield processing"

25 / 25 papers shown

Title
A convolutional neural network approach to deblending seismic data Jing Sun S. Slang T. Elboth Thomas Larsen Greiner S. McDonald L. Gelius 63 51 0 12 Sep 2024
Reliable amortized variational inference with physics-based latent distribution correction Ali Siahkoohi G. Rizzuti Rafael Orozco Felix J. Herrmann 60 29 0 24 Jul 2022
A hybrid approach to seismic deblending: when physics meets self-supervision N. Luiken M. Ravasi C. Birnie 75 6 0 30 May 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 280 30,103 0 01 Mar 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 465 7,757 0 11 Nov 2021
MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning T. Alkhalifah Hanchen Wang O. Ovcharenko OOD 75 68 0 11 Sep 2021
Anti-Aliasing Add-On for Deep Prior Seismic Data Interpolation F. Picetti V. Lipari Paolo Bestagini Stefano Tubaro 18 4 0 27 Jan 2021
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 137 1,626 0 15 Jun 2020
Sparse aNETT for Solving Inverse Problems with Deep Learning D. Obmann Linh V. Nguyen Johannes Schwab Markus Haltmeier 24 7 0 20 Apr 2020
Seismic data denoising and deblending using deep learning Alan Richardson C. Feller 33 24 0 02 Jul 2019
Deep-learning inversion: a next generation seismic velocity-model building method Fangshu Yang Jianwei Ma 60 390 0 17 Feb 2019
Interpolation and Denoising of Seismic Data using Convolutional Neural Networks S. Mandelli V. Lipari Paolo Bestagini Stefano Tubaro 26 71 0 23 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 94,891 0 11 Oct 2018
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders Paul Bergmann Sindy Löwe Michael Fauser David Sattlegger C. Steger 67 667 0 05 Jul 2018
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior L. Mosser O. Dubrule M. Blunt GAN AI4CE 105 208 0 10 Jun 2018
NETT: Solving Inverse Problems with Deep Neural Networks Housen Li Johannes Schwab Stephan Antholzer Markus Haltmeier 70 242 0 28 Feb 2018
Deep Image Prior Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky SupR 125 3,156 0 29 Nov 2017
Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates L. Smith Nicholay Topin AI4CE 86 519 0 23 Aug 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Alex Kendall Y. Gal R. Cipolla 3DH 272 3,123 0 19 May 2017
Solving ill-posed inverse problems using iterative deep neural networks J. Adler Ozan Oktem 83 617 0 13 Apr 2017
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 326 19,651 0 21 Nov 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 313 4,182 0 21 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,929 0 20 Dec 2013