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Parametric generation of conditional geological realizations using generative neural networks

13 July 2018

Papers citing "Parametric generation of conditional geological realizations using generative neural networks"

40 / 40 papers shown

Title
On the Convergence of Adam and Beyond Sashank J. Reddi Satyen Kale Surinder Kumar 106 2,506 0 19 Apr 2019
Parametrization of stochastic inputs using generative adversarial networks with application in geology Shing Chan A. Elsheikh GAN OOD 49 35 0 07 Apr 2019
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 271 5,404 0 28 Sep 2018
Conditioning of three-dimensional generative adversarial networks for pore and reservoir-scale models L. Mosser O. Dubrule M. Blunt GAN AI4CE 35 29 0 15 Feb 2018
Generating Realistic Geology Conditioned on Physical Measurements with Generative Adversarial Networks Emilien Dupont Tuanfeng Zhang P. Tilke Lin Liang William J. Bailey OOD GAN AI4CE 67 68 0 08 Feb 2018
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification Yinhao Zhu N. Zabaras UQCV BDL 111 646 0 21 Jan 2018
Stochastic reconstruction of an oolitic limestone by generative adversarial networks L. Mosser O. Dubrule M. Blunt GAN 46 142 0 07 Dec 2017
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models Jesse Engel Matthew Hoffman Adam Roberts DRL 88 140 0 15 Nov 2017
Sobolev GAN Youssef Mroueh Chun-Liang Li Tom Sercu Anant Raj Yu Cheng 47 117 0 14 Nov 2017
A machine learning approach for efficient uncertainty quantification using multiscale methods Shing Chan A. Elsheikh 64 73 0 12 Nov 2017
Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras Timo Aila S. Laine J. Lehtinen GAN 175 7,377 0 27 Oct 2017
Training-image based geostatistical inversion using a spatial generative adversarial neural network E. Laloy Romain Hérault D. Jacques N. Linde DiffM GAN 45 284 0 16 Aug 2017
Parametrization and generation of geological models with generative adversarial networks Shing Chan A. Elsheikh GAN 50 66 0 05 Aug 2017
Self-Normalizing Neural Networks Günter Klambauer Thomas Unterthiner Andreas Mayr Sepp Hochreiter 486 2,520 0 08 Jun 2017
$Machine learning for graph-based representations of three-dimensional discrete fracture networks$ Machine learning for graph-based representations of three-dimensional discrete fracture networks M. Valera Zhengyang Guo P. Kelly S. Matz V. A. Cantu A. Percus J. Hyman G. Srinivasan Hari S. Viswanathan AI4CE 42 66 0 27 May 2017
Fisher GAN Youssef Mroueh Tom Sercu GAN AI4CE 69 132 0 26 May 2017
Reconstruction of three-dimensional porous media using generative adversarial neural networks L. Mosser O. Dubrule M. Blunt AI4CE GAN 48 391 0 11 Apr 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 227 9,564 0 31 Mar 2017
Diversified Texture Synthesis with Feed-forward Networks Yijun Li Chen Fang Jimei Yang Zhaowen Wang Xin Lu Ming-Hsuan Yang 66 268 0 05 Mar 2017
Generalization and Equilibrium in Generative Adversarial Nets (GANs) Sanjeev Arora Rong Ge Yingyu Liang Tengyu Ma Yi Zhang GAN 54 690 0 02 Mar 2017
McGan: Mean and Covariance Feature Matching GAN Youssef Mroueh Tom Sercu Vaibhava Goel GAN 74 159 0 27 Feb 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 179 4,829 0 26 Jan 2017
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 83 2,112 0 17 Jan 2017
Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky OOD 94 798 0 09 Jan 2017
Identification of release sources in advection-diffusion system by machine learning combined with Green function inverse method V. Stanev Filip L. Iliev Scott Hansen V. Vesselinov Boian S. Alexandrov 44 21 0 12 Dec 2016
Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning Dilin Wang Qiang Liu GAN BDL 140 119 0 06 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 478 5,385 0 05 Nov 2016
Semantic Image Inpainting with Deep Generative Models Raymond A. Yeh Chen Chen Teck-Yian Lim Alex Schwing M. Hasegawa-Johnson Minh Do GAN VLM 83 1,176 0 26 Jul 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 150 1,825 0 15 Jun 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 486 9,073 0 10 Jun 2016
Deep Directed Generative Models with Energy-Based Probability Estimation Taesup Kim Yoshua Bengio GAN 66 136 0 10 Jun 2016
A guide to convolution arithmetic for deep learning Vincent Dumoulin Francesco Visin FAtt 3DH HAI 66 1,544 0 23 Mar 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 273 14,027 0 19 Nov 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 322 4,197 0 21 May 2015
Training generative neural networks via Maximum Mean Discrepancy optimization Gintare Karolina Dziugaite Daniel M. Roy Zoubin Ghahramani GAN 84 530 0 14 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 467 43,347 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Generative Adversarial Networks Ian Goodfellow Jean Pouget-Abadie M. Berk Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville Yoshua Bengio GAN 145 2,196 0 10 Jun 2014
Practical recommendations for gradient-based training of deep architectures Yoshua Bengio 3DH ODL 195 2,201 0 24 Jun 2012
A Kernel Method for the Two-Sample Problem Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alex Smola 239 2,365 0 15 May 2008