Poster · Atlanta

Improving Conditional Modeling via Inter-Class Likelihood-Ratio Maximization and Unifying Classifier-Free Guidance with Alignment Objectives

Name: Improving Conditional Modeling via Inter-Class Likelihood-Ratio Maximization and Unifying Classifier-Free Guidance with Alignment Objectives
Start: 2026-12-11T16:30:00-05:00
End: 2026-12-11T19:30:00-05:00
Location: Hall C1, Georgia World Congress Center

When: Fri 11 Dec 2026, 16:30–19:30 EST
Where: Hall C1, Georgia World Congress Center
Session: Atlanta Poster Session 6
Authors: Xiang Li, Yixuan Jia, Xiao Li, Jeffrey Fessler, Rongrong Wang, Qing Qu
Organisations: University of Michigan, Michigan State University
QRS classification: Generative models

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