Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models

8 March 2021

Papers citing "Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models"

35 / 185 papers shown

Title
Generative methods for sampling transition paths in molecular dynamics T. Lelièvre Geneviève Robin Inass Sekkat G. Stoltz Gabriel Victorino Cardoso GAN 6 7 0 05 May 2022
On the Normalizing Constant of the Continuous Categorical Distribution E. Gordon-Rodríguez G. Loaiza-Ganem Andres Potapczynski John P. Cunningham 11 2 0 28 Apr 2022
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models G. Loaiza-Ganem Brendan Leigh Ross Jesse C. Cresswell Anthony L. Caterini GAN DRL 11 27 0 14 Apr 2022
Efficient-VDVAE: Less is more Louay Hazami Rayhane Mama Ragavan Thurairatnam BDL 19 28 0 25 Mar 2022
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis Max W. Y. Lam J. Wang Dan Su Dong Yu DiffM 18 92 0 25 Mar 2022
Competency Assessment for Autonomous Agents using Deep Generative Models Aastha Acharya Rebecca L. Russell Nisar R. Ahmed 17 10 0 23 Mar 2022
Nonlinear Isometric Manifold Learning for Injective Normalizing Flows Eike Cramer Felix Rauh Alexander Mitsos Raúl Tempone Manuel Dahmen DRL 17 8 0 08 Mar 2022
FastFlows: Flow-Based Models for Molecular Graph Generation Nathan C. Frey V. Gadepally Bharath Ramsundar 14 12 0 28 Jan 2022
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes Sam Bond-Taylor P. Hessey Hiroshi Sasaki T. Breckon Chris G. Willcocks DiffM 14 71 0 24 Nov 2021
A Method for Evaluating Deep Generative Models of Images via Assessing the Reproduction of High-order Spatial Context Rucha Deshpande M. Anastasio F. Brooks MedIm 20 2 0 24 Nov 2021
Validation Methods for Energy Time Series Scenarios from Deep Generative Models Eike Cramer L. R. Gorjão Alexander Mitsos B. Schäfer D. Witthaut Manuel Dahmen 14 16 0 27 Oct 2021
Efficient Gradient Flows in Sliced-Wasserstein Space Clément Bonet Nicolas Courty Franccois Septier Lucas Drumetz 27 20 0 21 Oct 2021
Chunked Autoregressive GAN for Conditional Waveform Synthesis Max Morrison Rithesh Kumar Kundan Kumar Prem Seetharaman Aaron Courville Yoshua Bengio GAN 22 67 0 19 Oct 2021
The Deep Generative Decoder: MAP estimation of representations improves modeling of single-cell RNA data Viktoria Schuster A. Krogh 19 4 0 13 Oct 2021
A review and experimental evaluation of deep learning methods for MRI reconstruction Arghya Pal Yogesh Rathi 3DV 37 41 0 17 Sep 2021
Deep Generative Modeling for Protein Design Alexey Strokach Philip M. Kim AI4CE 176 90 0 31 Aug 2021
Bilateral Denoising Diffusion Models Max W. Y. Lam Jun Wang Rongjie Huang Dan Su Dong Yu DiffM 12 42 0 26 Aug 2021
BIGRoC: Boosting Image Generation via a Robust Classifier Roy Ganz Michael Elad 13 10 0 08 Aug 2021
The Devil is in the GAN: Backdoor Attacks and Defenses in Deep Generative Models Ambrish Rawat Killian Levacher M. Sinn AAML 14 10 0 03 Aug 2021
Transflower: probabilistic autoregressive dance generation with multimodal attention Guillermo Valle Pérez G. Henter Jonas Beskow A. Holzapfel Pierre-Yves Oudeyer Simon Alexanderson 16 42 0 25 Jun 2021
A deep generative model for probabilistic energy forecasting in power systems: normalizing flows Jonathan Dumas Antoine Wehenkel Bertrand Cornélusse Antonio Sutera AI4TS 11 81 0 17 Jun 2021
A Simple Generative Network D. Nissani GAN 6 0 0 17 Jun 2021
Generative Adversarial Networks via a Composite Annealing of Noise and Diffusion Kensuke Nakamura Simon Korman Byung-Woo Hong DiffM 14 2 0 01 May 2021
Creativity and Machine Learning: A Survey Giorgio Franceschelli Mirco Musolesi VLM AI4CE 19 37 0 06 Apr 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 202 392 0 10 Feb 2021
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis Bingchen Liu Yizhe Zhu Kunpeng Song Ahmed Elgammal 162 227 0 12 Jan 2021
The ELBO of Variational Autoencoders Converges to a Sum of Three Entropies Simon Damm D. Forster Dmytro Velychko Zhenwen Dai Asja Fischer Jörg Lücke DRL 14 5 0 28 Oct 2020
Autoregressive Score Matching Chenlin Meng Lantao Yu Yang Song Jiaming Song Stefano Ermon DiffM 180 12 0 24 Oct 2020
Training Deep Energy-Based Models with f-Divergence Minimization Lantao Yu Yang Song Jiaming Song Stefano Ermon 165 42 0 06 Mar 2020
On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach Yuanhao Wang Guodong Zhang Jimmy Ba 29 99 0 16 Oct 2019
Cubic-Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios TPM 37 57 0 05 Jun 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 224 3,183 0 30 Oct 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,542 0 25 Jan 2016