JSM2025
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Contributed Papers

Advances in Generative Models

Tue, Aug 5, 10:30 AM - 12:20 PM Room CC-103A Music City Center
Osafu Augustine EgbonChair
Section on Statistical Learning and Data Science

7 Presentations

AI-Generated Images of Cancer Patients: Comparing the Results of Two Generative AI Models
10:35 AM - 10:50 AM
Co-authors: Kristin Schrader (Westat), Kristin Schrader (Westat), Sylvia Chou (National Cancer Institute), Anna Gaysynsky (National Cancer Institute), Irina Iles (National Cancer Institute), Abigail Muro (National Cancer Institute), Nicole Senft (National Cancer Institute)
AI-generated imagescancer patientsrepresentationChatGPTStable Diffusionvisual content analysis
Efficient Generative Modeling via Penalized Optimal Transport Network
10:50 AM - 11:05 AM
Co-authors: Wenhui Sophia Lu (Stanford University), Chenyang Zhong (Department of Statistics, Columbia University), Wenhui Sophia Lu (Stanford University), Wing-Hung Wong (Stanford University)
mode collapsesynthetic data generationmarginal penalizationmarginal regularizationgenerative density estimationWasserstein distance
Generative Transformer for Longitudinal Biomarker and Diet Quality Data Representation
11:05 AM - 11:20 AM
Co-authors: Ashikur Nobel (Yeshiva University), Ashikur Nobel (Yeshiva University), Hua Fang, Honggang Wang (Yeshiva University)
BiomarkerDiet Quality IndexContextual RepresentationLongitudinal Data ModelingGenerative Pretrained TransformerMultiple Imputation
Parallelly Tempered Generative Adversarial Networks
11:20 AM - 11:35 AM
Co-authors: Jinwon Sohn (Purdue University), Jinwon Sohn (Purdue University), Qifan Song
Generative Adversarial NetworkParallel TemperingFair Data GenerationVariance Reduction of Gradients
Relaxed χ^2-Divergence Gradient Flow
11:35 AM - 11:50 AM
Co-authors: Medha Agarwal (University of Washington), Medha Agarwal (University of Washington), Garrett Mulcahy (University of Washington), Soumik Pal (University of Washington), Zaid Harchaoui (University of Washington)
gradient flowsconvex analysis$\chi^2$-divergencegenerative modelingWasserstein space
Vector representations of generative models and their consistent estimation
11:50 AM - 12:05 PM
Co-authors: Aranyak Acharyya (Johns Hopkins University), Aranyak Acharyya (Johns Hopkins University), Michael W. Trosset (Indiana University Bloomington), Carey E. Priebe (Johns Hopkins University), Hayden S. Helm (Helivan Research)
generative modelsmultidimensional scalingraw stress embedding
Selective Inference for Multivariate Regression Trees
12:05 PM - 12:20 PM
Co-authors: Le Chang, Karl Gregory (Academic Advisor), Le Chang
post-selection inferenceregression treeMCMC
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