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Patrick Pérez

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Preprint Sep 2026

Diffusable Latents from Structure-Agnostic Distillation

Distilling pretrained foundation models into an autoencoder bottleneck improves latent diffusability, enabling diffusion models to converge faster and reach higher sample quality. Standard distillation aligns the latent at each position to a co-located teacher feature, tying the latent layout to the teacher's. We show...

Adrien Ramanana Rahary, Nicolas Dufour, Patrick Pérez et al. · 0 citations
Jul 2026

Multiplayer Interactive World Models with Representation Autoencoders

The first multiplayer world model for highly dynamic environments governed by complex physical interactions is introduced, and how behavior changes with model and data scale is characterized, including the capabilities that emerge and the failure modes that persist.

Anthony Hu, V'aclav Volhejn, Adrien Ramanana Rahary et al. · 4 citations

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