Solving inverse problems using conditional invertible neural networks

31 July 2020

Papers citing "Solving inverse problems using conditional invertible neural networks"

37 / 37 papers shown

Title
Variational Bayesian Optimal Experimental Design with Normalizing Flows Jiayuan Dong Christian L. Jacobsen Mehdi Khalloufi Maryam Akram Wanjiao Liu Karthik Duraisamy Xun Huan BDL 102 7 0 08 Apr 2024
Probabilistic Forecasting of Irregular Time Series via Conditional Flows Vijaya Krishna Yalavarthi Randolf Scholz Stefan Born Lars Schmidt-Thieme AI4TS 72 0 0 09 Feb 2024
Multi-fidelity Generative Deep Learning Turbulent Flows N. Geneva N. Zabaras AI4CE 40 44 0 08 Jun 2020
Guided Image Generation with Conditional Invertible Neural Networks Lynton Ardizzone Carsten T. Lüth Jakob Kruse Carsten Rother Ullrich Kothe DRL 51 295 0 04 Jul 2019
Modeling the Dynamics of PDE Systems with Physics-Constrained Deep Auto-Regressive Networks N. Geneva N. Zabaras AI4CE 36 270 0 13 Jun 2019
Solving Electrical Impedance Tomography with Deep Learning Yuwei Fan Lexing Ying 57 103 0 06 Jun 2019
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data Yinhao Zhu N. Zabaras P. Koutsourelakis P. Perdikaris PINN AI4CE 75 860 0 18 Jan 2019
Deep autoregressive neural networks for high-dimensional inverse problems in groundwater contaminant source identification S. Mo N. Zabaras Xiaoqing Shi Jichun Wu AI4CE 37 199 0 22 Dec 2018
WaveGlow: A Flow-based Generative Network for Speech Synthesis R. Prenger Rafael Valle Bryan Catanzaro 144 1,024 0 31 Oct 2018
Reversible Recurrent Neural Networks M. Mackay Paul Vicol Jimmy Ba Roger C. Grosse 29 52 0 25 Oct 2018
Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows Nils Thuerey Konstantin Weissenow L. Prantl Xiangyu Y. Hu AI4CE 59 380 0 18 Oct 2018
Analyzing Inverse Problems with Invertible Neural Networks Lynton Ardizzone Jakob Kruse Sebastian J. Wirkert D. Rahner E. Pellegrini R. Klessen Lena Maier-Hein Carsten Rother Ullrich Kothe 47 489 0 14 Aug 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 238 3,110 0 09 Jul 2018
Quantifying model form uncertainty in Reynolds-averaged turbulence models with Bayesian deep neural networks N. Geneva N. Zabaras BDL 34 125 0 08 Jul 2018
Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media S. Mo Yinhao Zhu N. Zabaras Xiaoqing Shi Jichun Wu AI4CE 59 275 0 02 Jul 2018
Scalable Factorized Hierarchical Variational Autoencoder Training Wei-Ning Hsu James R. Glass BDL 35 23 0 09 Apr 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches Md. Zahangir Alom T. Taha C. Yakopcic Stefan Westberg P. Sidike Mst Shamima Nasrin B. Van Essen A. Awwal V. Asari VLM 71 878 0 03 Mar 2018
Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification Rohit Tripathy Ilias Bilionis AI4CE 58 403 0 02 Feb 2018
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification Yinhao Zhu N. Zabaras UQCV BDL 63 640 0 21 Jan 2018
Stochastic reconstruction of an oolitic limestone by generative adversarial networks L. Mosser O. Dubrule M. Blunt GAN 36 141 0 07 Dec 2017
Deep D-bar: Real time Electrical Impedance Tomography Imaging with Deep Neural Networks S. Hamilton A. Hauptmann 66 255 0 08 Nov 2017
Inversion using a new low-dimensional representation of complex binary geological media based on a deep neural network E. Laloy Romain Hérault J. Lee D. Jacques N. Linde 53 194 0 25 Oct 2017
Training-image based geostatistical inversion using a spatial generative adversarial neural network E. Laloy Romain Hérault D. Jacques N. Linde DiffM GAN 32 284 0 16 Aug 2017
Parametrization and generation of geological models with generative adversarial networks Shing Chan A. Elsheikh GAN 35 66 0 05 Aug 2017
Solving ill-posed inverse problems using iterative deep neural networks J. Adler Ozan Oktem 69 617 0 13 Apr 2017
Reconstruction of three-dimensional porous media using generative adversarial neural networks L. Mosser O. Dubrule M. Blunt AI4CE GAN 34 390 0 11 Apr 2017
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 302 19,560 0 21 Nov 2016
Deep Convolutional Neural Network for Inverse Problems in Imaging Kyong Hwan Jin Michael T. McCann Emmanuel Froustey M. Unser 47 2,116 0 11 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 680 36,599 0 25 Aug 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 214 3,681 0 26 May 2016
Ladder Variational Autoencoders C. Sønderby T. Raiko Lars Maaløe Søren Kaae Sønderby Ole Winther BDL DRL 92 909 0 06 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.6K 192,638 0 10 Dec 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 508 7,952 0 13 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.1K 149,474 0 22 Dec 2014
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 219 10,365 0 06 Nov 2014
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 115 2,251 0 30 Oct 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 393 16,962 0 20 Dec 2013