2025 "classifier guidance" Papers

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Adding Conditional Control to Diffusion Models with Reinforcement Learning

Yulai Zhao, Masatoshi Uehara, Gabriele Scalia et al.

ICLR 2025posterarXiv:2406.12120

Are Images Indistinguishable to Humans Also Indistinguishable to Classifiers?

Zebin You, Xinyu Zhang, Hanzhong Guo et al.

CVPR 2025posterarXiv:2405.18029

CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion

Joshua Kazdan, Hao Sun, Jiaqi Han et al.

ICLR 2025posterarXiv:2409.07025

Representative Guidance: Diffusion Model Sampling with Coherence

Anh-Dung Dinh, Daochang Liu, Chang Xu

ICLR 2025poster

Unlocking hidden biomolecular conformational landscapes in diffusion models at inference time

Daniel D. Richman, Jessica Karaguesian, Carl-Mikael Suomivuori et al.

NEURIPS 2025spotlightarXiv:2512.03312

When Are Concepts Erased From Diffusion Models?

Kevin Lu, Nicky Kriplani, Rohit Gandikota et al.

NEURIPS 2025posterarXiv:2505.17013