An Introduction to Deep Generative Modeling

9 March 2021

Papers citing "An Introduction to Deep Generative Modeling"

25 / 75 papers shown

Title
Auto-Encoding Goodness of Fit A. Palmer Zhiyi Chi Derek Aguiar J. Bi 41 1 0 12 Oct 2022
medigan: a Python library of pretrained generative models for medical image synthesis Richard Osuala Grzegorz Skorupko Noussair Lazrak Lidia Garrucho E. García ... Michael Rutherford Fred Prior Kaisar Kushibar Oliver Díaz Karim Lekadir LM&MA MedIm 26 20 0 28 Sep 2022
Automated Urban Planning aware Spatial Hierarchies and Human Instructions Dongjie Wang Kunpeng Liu Yanyong Huang Leilei Sun Bowen Du Yanjie Fu AI4CE 33 3 0 26 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard Turner L. Yao BDL 76 24 0 01 Sep 2022
Comparing the latent space of generative models Andrea Asperti Valerio Tonelli DRL 26 12 0 14 Jul 2022
Data-Driven Modeling of Noise Time Series with Convolutional Generative Adversarial Networks A. Wunderlich Jack G. Sklar AI4TS 40 4 0 03 Jul 2022
Training Discrete Deep Generative Models via Gapped Straight-Through Estimator Ting-Han Fan Ta-Chung Chi Alexander I. Rudnicky Peter J. Ramadge BDL 35 7 0 15 Jun 2022
PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization Fabian Altekrüger Alexander Denker Paul Hagemann J. Hertrich Peter Maass Gabriele Steidl MedIm 16 24 0 24 May 2022
Overparameterization Improves StyleGAN Inversion Yohan Poirier-Ginter Alexandre Lessard Ryan Smith Jean-François Lalonde 40 4 0 12 May 2022
Data-driven detector signal characterization with constrained bottleneck autoencoders C. Jesús-Valls Thorsten Lux Federico Sánchez 13 1 0 09 Mar 2022
Generative modeling via tensor train sketching Y. Hur J. Hoskins M. Lindsey E. Stoudenmire Y. Khoo 24 23 0 23 Feb 2022
Multivariate Quantile Function Forecaster Kelvin K. Kan Franccois-Xavier Aubet Tim Januschowski Youngsuk Park Konstantinos Benidis Lars Ruthotto Jan Gasthaus AI4TS 39 22 0 23 Feb 2022
Enhancing variational generation through self-decomposition Andrea Asperti Laura Bugo Daniele Filippini DRL 46 2 0 06 Feb 2022
Generalization Metrics for Practical Quantum Advantage in Generative Models Kaitlin Gili M. Mauri A. Perdomo-Ortiz 38 7 0 21 Jan 2022
Generalized Normalizing Flows via Markov Chains Paul Hagemann J. Hertrich Gabriele Steidl BDL DiffM AI4CE 30 22 0 24 Nov 2021
On Learning the Transformer Kernel Sankalan Pal Chowdhury Adamos Solomou Kumar Avinava Dubey Mrinmaya Sachan ViT 52 14 0 15 Oct 2021
Machine Learning Featurizations for AI Hacking of Political Systems Nathan Sanders B. Schneier 20 2 0 08 Oct 2021
Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint Paul Hagemann J. Hertrich Gabriele Steidl BDL 26 36 0 23 Sep 2021
Analysis of ODE2VAE with Examples Batuhan Koyuncu DRL 8 0 0 10 Aug 2021
Regularising Inverse Problems with Generative Machine Learning Models Margaret Duff Neill D. F. Campbell Matthias Joachim Ehrhardt GAN MedIm 29 34 0 22 Jul 2021
A Deep Generative Artificial Intelligence system to decipher species coexistence patterns J. Hirn J. E. García A. Montesinos‐Navarro R. Sanchez-Martín V. Sanz M. Verdú 9 0 0 13 Jul 2021
A deep generative model for probabilistic energy forecasting in power systems: normalizing flows Jonathan Dumas Antoine Wehenkel Bertrand Cornélusse Antonio Sutera AI4TS 29 82 0 17 Jun 2021
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement Mehmet Akccakaya Burhaneddin Yaman Hyungjin Chung Jong Chul Ye MedIm 36 55 0 17 May 2021
JFB: Jacobian-Free Backpropagation for Implicit Networks Samy Wu Fung Howard Heaton Qiuwei Li Daniel McKenzie Stanley Osher W. Yin FedML 35 84 0 23 Mar 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 285 10,354 0 12 Dec 2018