Improving conditional modeling via inter-class likelihood-ratio maximization and unifying classifier-free guidance with alignment objectives. Li, X., Jia, Y., Li, X., Fessler, J. A., Wang, R., & Qu, Q. 2026. Submitted
Improving conditional modeling via inter-class likelihood-ratio maximization and unifying classifier-free guidance with alignment objectives [link]Paper  bibtex   
@CONFERENCE{li:26:icm,
 author = {X. Li and Y. Jia and X. Li and J. A. Fessler and R. Wang and Q. Qu},
 title = {Improving conditional modeling via inter-class likelihood-ratio maximization and unifying classifier-free guidance with alignment objectives},
 booktitle = {{NeurIPS}},
 note = {Submitted},
 url = {https://openreview.net/forum?id=tDqT2QD3Da},
 year = 2026
}

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