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An Introduction to Deep Generative Modeling

GAMM-Mitteilungen (GAMM-Mitteilungen), 2021

9 March 2021

Papers citing "An Introduction to Deep Generative Modeling"

38 / 88 papers shown

Diffusion map particle systems for generative modelingFoundations of Data Science (FDS), 2023

Fengyi Li

Youssef Marzouk

DiffM

306

01 Apr 2023

Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty QuantificationInternational Conference on Medical Imaging with Deep Learning (MIDL), 2023

163

06 Mar 2023

Geometry-Complete Diffusion for 3D Molecule Generation and OptimizationCommunications Chemistry (Commun. Chem.), 2023

Alex Morehead

Jianlin Cheng

DiffM

479

08 Feb 2023

A supplemental investigation of non-linearity in quantum generative models with respect to simulatability and optimization

208

01 Feb 2023

Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data

Mengxi Wu

Mohammad Rostami

AI4CE

297

29 Jan 2023

ApproxED: Approximate exploitability descent via learned best responsesAdaptive Agents and Multi-Agent Systems (AAMAS), 2023

Carlos Martin

Tuomas Sandholm

415

20 Jan 2023

GAN-based Tabular Data Generator for Constructing Synopsis in Approximate Query Processing: Challenges and Solutions

M. Fallahian

Mohsen Dorodchi

Kyle Kreth

147

18 Dec 2022

Criterion for the resemblance between the mother and the model distributionJournal of Statistical Theory and Applications (JSTA) (JSTA), 2022

Y. Sheena

108

07 Dec 2022

Denoising diffusion probabilistic models for probabilistic energy forecasting

Esteban Hernandez Capel

Jonathan Dumas

DiffM

316

06 Dec 2022

Rethinking Generative Methods for Image Restoration in Physics-based Vision: A Theoretical Analysis from the Perspective of Information

187

05 Dec 2022

Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the JKO SchemeScientific Reports (Sci Rep), 2022

Stanley Osher

217

30 Nov 2022

Neural network based generation of a 1-dimensional stochastic field with turbulent velocity statistics

C. Granero-Belinchón

157

21 Nov 2022

Cover Reproducible Steganography via Deep Generative ModelsIEEE Transactions on Dependable and Secure Computing (TDSC), 2022

Hang Zhou

109

26 Oct 2022

Compressed Sensing MRI Reconstruction Regularized by VAEs with Structured Image CovariancePhysics in Medicine and Biology (PMB), 2022

Margaret Duff

Ivor J. A. Simpson

Matthias Joachim Ehrhardt

Neill D. F. Campbell

DiffM MedIm

135

26 Oct 2022

Auto-Encoding Goodness of FitInternational Conference on Learning Representations (ICLR), 2022

298

12 Oct 2022

medigan: a Python library of pretrained generative models for medical image synthesisJournal of Medical Imaging (JMI), 2022

...

155

28 Sep 2022

Automated Urban Planning aware Spatial Hierarchies and Human InstructionsKnowledge and Information Systems (KAIS), 2022

254

26 Sep 2022

The Neural Process Family: Survey, Applications and Perspectives

461

01 Sep 2022

Comparing the latent space of generative models

Andrea Asperti

Valerio Tonelli

DRL

172

14 Jul 2022

Data-Driven Modeling of Noise Time Series with Convolutional Generative Adversarial Networks

A. Wunderlich

Jack G. Sklar

AI4TS

262

03 Jul 2022

Training Discrete Deep Generative Models via Gapped Straight-Through EstimatorInternational Conference on Machine Learning (ICML), 2022

Ting-Han Fan

Ta-Chung Chi

Alexander I. Rudnicky

Peter J. Ramadge

BDL

179

15 Jun 2022

PatchNR: Learning from Very Few Images by Patch Normalizing Flow RegularizationInverse Problems (IP), 2022

259

24 May 2022

Overparameterization Improves StyleGAN Inversion

Yohan Poirier-Ginter

Alexandre Lessard

Ryan Smith

Jean-François Lalonde

159

12 May 2022

Data-driven detector signal characterization with constrained bottleneck autoencodersJournal of Instrumentation (JINST), 2022

C. Jesús-Valls

Thorsten Lux

Federico Sánchez

220

09 Mar 2022

Generative modeling via tensor train sketchingSocial Science Research Network (SSRN), 2022

340

23 Feb 2022

Multivariate Quantile Function ForecasterInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022

Kelvin K. Kan

Franccois-Xavier Aubet

263

23 Feb 2022

Enhancing variational generation through self-decompositionIEEE Access (IEEE Access), 2022

212

06 Feb 2022

Generalization Metrics for Practical Quantum Advantage in Generative ModelsPhysical Review Applied (Phys. Rev. Appl.), 2022

Kaitlin Gili

M. Mauri

A. Perdomo-Ortiz

300

21 Jan 2022

Generalized Normalizing Flows via Markov Chains

428

24 Nov 2021

On Learning the Transformer Kernel

Sankalan Pal Chowdhury

334

15 Oct 2021

Machine Learning Featurizations for AI Hacking of Political Systems

Nathan Sanders

B. Schneier

151

08 Oct 2021

Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint

459

23 Sep 2021

Analysis of ODE2VAE with Examples

Batuhan Koyuncu

DRL

10 Aug 2021

Regularising Inverse Problems with Generative Machine Learning ModelsJournal of Mathematical Imaging and Vision (JMIV), 2021

Margaret Duff

Neill D. F. Campbell

Matthias Joachim Ehrhardt

GAN MedIm

225

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

13 Jul 2021

A deep generative model for probabilistic energy forecasting in power systems: normalizing flowsApplied Energy (Appl. Energy), 2021

444

17 Jun 2021

Unsupervised Deep Learning Methods for Biological Image Reconstruction and EnhancementIEEE Signal Processing Magazine (IEEE SPM), 2021

309

17 May 2021

JFB: Jacobian-Free Backpropagation for Implicit NetworksAAAI Conference on Artificial Intelligence (AAAI), 2021

Stanley Osher

414

110

23 Mar 2021