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S. Razavi

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Preprint Oct 2026

Representation Conditioning for Generation

Representation-alignment methods effectively accelerate the diffusion transformer training. REPA, for example, uses a pretrained vision encoder to supervise an intermediate layer through an MLP projection head which is discarded after training. It aims to import semantics from the vision encoder to the diffusion backbo...

S. Razavi, Xing-Jian Leng, Liang Zheng · 0 citations
2025

Navigating the MIL Trade-Off: Flexible Pooling for Whole Slide Image Classification

Maxsoft is introduced—a novel MIL pooling function that enables flexible control over this trade-off, allowing adaptation to specific tasks and datasets, and PerPatch augmentation is proposed—a simple yet effective technique that enhances model robustness.

Hossein Jafarinia, Danial Hamdi, A. Alamdar et al. · 1 citation

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