Wasserstein Generative Learning of Conditional Distribution

Wasserstein Generative Learning of Conditional Distribution

19 December 2021

Yuling Jiao

Papers citing "Wasserstein Generative Learning of Conditional Distribution"

7 / 7 papers shown

Title
Wasserstein Distributionally Robust Nonparametric Regression Changyu Liu Yuling Jiao Junhui Wang Jian Huang OOD 31 0 0 12 May 2025
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
Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction Moritz Piening Fabian Altekrüger J. Hertrich Paul Hagemann Andrea Walther Gabriele Steidl 24 6 0 27 Dec 2023
Consistent Optimal Transport with Empirical Conditional Measures Piyushi Manupriya Rachit Keerti Das Sayantan Biswas S. Jagarlapudi OT 32 3 0 25 May 2023
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems Fabian Altekrüger Paul Hagemann Gabriele Steidl TPM 26 9 0 28 Mar 2023
CARD: Classification and Regression Diffusion Models Xizewen Han Huangjie Zheng Mingyuan Zhou DiffM 43 109 0 15 Jun 2022
Deep Generative Survival Analysis: Nonparametric Estimation of Conditional Survival Function Xing Zhou Wen Su Changyu Liu Yuling Jiao Xingqiu Zhao Jian Huang CML MedIm 32 4 0 19 May 2022