Deep Generative Learning via Variational Gradient Flow

24 January 2019

Yuling Jiao

Papers citing "Deep Generative Learning via Variational Gradient Flow"

30 / 30 papers shown

Title
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Jialong Jiang Wenkang Hu Jian Huang Yuling Jiao Xu Liu DiffM 50 0 0 08 May 2025
Nested Annealed Training Scheme for Generative Adversarial Networks Chang Wan Ming-Hsuan Yang Minglu Li Yunliang Jiang Zhonglong Zheng GAN 38 0 0 20 Jan 2025
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport Jaemoo Choi Jaewoong Choi Myungjoo Kang 43 6 0 08 Feb 2024
Neural Sinkhorn Gradient Flow Huminhao Zhu Fangyikang Wang Chao Zhang Han Zhao Hui Qian 27 5 0 25 Jan 2024
Gaussian Interpolation Flows Yuan Gao Jianxia Huang Yuling Jiao AI4CE 20 2 0 20 Nov 2023
Module-wise Training of Neural Networks via the Minimizing Movement Scheme Skander Karkar Bhaskar Sen Emmanuel de Bezenac Patrick Gallinari 30 2 0 29 Sep 2023
Refining 6-DoF Grasps with Context-Specific Classifiers Tasbolat Taunyazov Heng Zhang John Patrick Eala Na Zhao Harold Soh 29 2 0 14 Aug 2023
DiffFlow: A Unified SDE Framework for Score-Based Diffusion Models and Generative Adversarial Networks Jingwei Zhang Han Shi Jincheng Yu Enze Xie Zhenguo Li DiffM 26 3 0 05 Jul 2023
A New Paradigm for Generative Adversarial Networks based on Randomized Decision Rules Sehwan Kim Qifan Song Faming Liang GAN 22 1 0 23 Jun 2023
Unifying GANs and Score-Based Diffusion as Generative Particle Models Jean-Yves Franceschi Mike Gartrell Ludovic Dos Santos Thibaut Issenhuth Emmanuel de Bezenac Mickaël Chen A. Rakotomamonjy DiffM 18 21 0 25 May 2023
Minimizing $f$ -Divergences by Interpolating Velocity Fields Song Liu Jiahao Yu J. Simons Mingxuan Yi Mark Beaumont 26 3 0 24 May 2023
Generative Sliced MMD Flows with Riesz Kernels J. Hertrich Christian Wald Fabian Altekrüger Paul Hagemann 33 23 0 19 May 2023
Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression Guohao Shen Yuling Jiao Yuanyuan Lin Jian Huang 50 3 0 01 May 2023
The Score-Difference Flow for Implicit Generative Modeling Romann M. Weber DiffM 29 2 0 25 Apr 2023
Efficient Multimodal Sampling via Tempered Distribution Flow Yixuan Qiu Tianlin Li OT 34 2 0 08 Apr 2023
Generative Modeling with Flow-Guided Density Ratio Learning Alvin Heng Abdul Fatir Ansari Harold Soh 19 1 0 07 Mar 2023
MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows Mingxuan Yi Zhanxing Zhu Song Liu GAN 29 14 0 02 Feb 2023
SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer Yuhta Takida Masaaki Imaizumi Takashi Shibuya Chieh-Hsin Lai Toshimitsu Uesaka Naoki Murata Yuki Mitsufuji GAN 26 11 0 30 Jan 2023
Neural Wasserstein Gradient Flows for Maximum Mean Discrepancies with Riesz Kernels Fabian Altekrüger J. Hertrich Gabriele Steidl 35 13 0 27 Jan 2023
Block-wise Training of Residual Networks via the Minimizing Movement Scheme Skander Karkar Ibrahim Ayed Emmanuel de Bézenac Patrick Gallinari 33 1 0 03 Oct 2022
GANs as Gradient Flows that Converge Yu‐Jui Huang Yuchong Zhang 16 3 0 05 May 2022
Variational Wasserstein gradient flow JiaoJiao Fan Qinsheng Zhang Amirhossein Taghvaei Yongxin Chen 72 54 0 04 Dec 2021
Trust the Critics: Generatorless and Multipurpose WGANs with Initial Convergence Guarantees Tristan Milne Étienne Bilocq A. Nachman 16 3 0 30 Nov 2021
Relative Entropy Gradient Sampler for Unnormalized Distributions Xingdong Feng Yuan Gao Jian Huang Yuling Jiao Xu Liu 36 7 0 06 Oct 2021
Deep Generative Learning via Schrödinger Bridge Gefei Wang Yuling Jiao Qiang Xu Yang Wang Can Yang DiffM OT 23 92 0 19 Jun 2021
Large-Scale Wasserstein Gradient Flows Petr Mokrov Alexander Korotin Lingxiao Li Aude Genevay Justin Solomon Evgeny Burnaev 30 72 0 01 Jun 2021
Generative Learning With Euler Particle Transport Yuan Gao Jian Huang Yuling Jiao Jin Liu Xiliang Lu J. Yang OT 25 2 0 11 Dec 2020
Refining Deep Generative Models via Discriminator Gradient Flow Abdul Fatir Ansari Ming Liang Ang Harold Soh 16 48 0 01 Dec 2020
Deep Dimension Reduction for Supervised Representation Learning Jian Huang Yuling Jiao Xu Liao Jin Liu Zhou Yu DRL 17 13 0 10 Jun 2020
Learning Implicit Generative Models with Theoretical Guarantees Yuan Gao Jian Huang Yuling Jiao Jin Liu 25 7 0 07 Feb 2020