Duke, Lawrence Carin

8 publications

ICML 2019 Gromov-Wasserstein Learning for Graph Matching and Node Embedding Hongteng Xu, Dixin Luo, Hongyuan Zha, Lawrence Carin Duke

ICML 2019 Stochastic Blockmodels Meet Graph Neural Networks Nikhil Mehta, Lawrence Carin Duke, Piyush Rai

ICML 2019 Variational Annealing of GANs: A Langevin Perspective Chenyang Tao, Shuyang Dai, Liqun Chen, Ke Bai, Junya Chen, Chang Liu, Ruiyi Zhang, Georgiy Bobashev, Lawrence Carin Duke

ICML 2018 Adversarial Time-to-Event Modeling Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Courtney Page, Benjamin Goldstein, Lawrence Carin Duke, Ricardo Henao

ICML 2018 Chi-Square Generative Adversarial Network Chenyang Tao, Liqun Chen, Ricardo Henao, Jianfeng Feng, Lawrence Carin Duke

ICML 2018 Continuous-Time Flows for Efficient Inference and Density Estimation Changyou Chen, Chunyuan Li, Liqun Chen, Wenlin Wang, Yunchen Pu, Lawrence Carin Duke

ICML 2018 JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets Yunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin Duke

ICML 2018 Variational Inference and Model Selection with Generalized Evidence Bounds Liqun Chen, Chenyang Tao, Ruiyi Zhang, Ricardo Henao, Lawrence Carin Duke