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Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport

8 February 2024

Jaemoo Choi

Jaewoong Choi

Myungjoo Kang

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Papers citing "Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport"

34 / 34 papers shown

Title
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling Michal Balcerak Tamaz Amiranashvili Suprosanna Shit Antonio Terpin Lea Bogensperger Sebastian Kaltenbach Petros Koumoutsakos Bjoern Menze DiffM 130 3 0 14 Apr 2025
Improving Neural Optimal Transport via Displacement Interpolation Jaemoo Choi Yongxin Chen Jaewoong Choi OT 82 2 0 03 Oct 2024
Improving and generalizing flow-based generative models with minibatch optimal transport Alexander Tong Kilian Fatras Nikolay Malkin G. Huguet Yanlei Zhang Jarrid Rector-Brooks Guy Wolf Yoshua Bengio OOD DiffM OT 112 304 0 01 Feb 2023
Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the JKO Scheme Alexander Vidal Samy Wu Fung Luis Tenorio Stanley Osher L. Nurbekyan 88 20 0 30 Nov 2022
Subspace Diffusion Generative Models Bowen Jing Gabriele Corso Renato Berlinghieri Tommi Jaakkola DiffM 75 78 0 03 May 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 283 30,103 0 01 Mar 2022
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs Zhisheng Xiao Karsten Kreis Arash Vahdat DiffM 98 555 0 15 Dec 2021
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 86 235 0 14 Dec 2021
Variational Wasserstein gradient flow JiaoJiao Fan Qinsheng Zhang Amirhossein Taghvaei Yongxin Chen 135 57 0 04 Dec 2021
Efficient Gradient Flows in Sliced-Wasserstein Space Clément Bonet Nicolas Courty Franccois Septier Lucas Drumetz 98 21 0 21 Oct 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 67 684 0 10 Jun 2021
Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks David Alvarez-Melis Yair Schiff Youssef Mroueh 80 57 0 01 Jun 2021
Wasserstein Proximal of GANs A. Lin Wuchen Li Stanley Osher Guido Montúfar GAN 46 47 0 13 Feb 2021
Learning Energy-Based Models by Diffusion Recovery Likelihood Ruiqi Gao Yang Song Ben Poole Ying Nian Wu Diederik P. Kingma DiffM 62 128 0 15 Dec 2020
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 347 6,551 0 26 Nov 2020
Dual Contradistinctive Generative Autoencoder Gaurav Parmar Dacheng Li Kwonjoon Lee Zhuowen Tu GAN 56 82 0 19 Nov 2020
Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation Yogesh Balaji Ramalingam Chellappa Soheil Feizi OT 155 105 0 12 Oct 2020
A Contrastive Learning Approach for Training Variational Autoencoder Priors J. Aneja Alex Schwing Jan Kautz Arash Vahdat DRL 74 83 0 06 Oct 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 286 7,454 0 06 Oct 2020
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 72 915 0 08 Jul 2020
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 161 1,886 0 11 Jun 2020
SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence Sinho Chewi Thibaut Le Gouic Chen Lu Tyler Maunu Philippe Rigollet 92 70 0 03 Jun 2020
Adversarial Latent Autoencoders Stanislav Pidhorskyi Donald Adjeroh Gianfranco Doretto GAN DRL 91 261 0 09 Apr 2020
AutoGAN: Neural Architecture Search for Generative Adversarial Networks Xinyu Gong Shiyu Chang Yi Ding Zhangyang Wang GAN 67 263 0 11 Aug 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,954 0 12 Jul 2019
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 297 3,138 0 09 Jul 2018
Approximate inference with Wasserstein gradient flows Charlie Frogner T. Poggio DiffM 20 32 0 12 Jun 2018
Which Training Methods for GANs do actually Converge? L. Mescheder Andreas Geiger Sebastian Nowozin 81 1,467 0 13 Jan 2018
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 224 9,558 0 31 Mar 2017
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 280 623 0 22 Sep 2016
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 73 1,093 0 16 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 275 78 0 26 May 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 479 2,573 0 25 Jan 2016
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 244 8,424 0 28 Nov 2014