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Hai-Yu Wu

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Preprint Sep 2026

FuseReg: Regularizing Layer Fusion Mitigates the Reconstruction-Generation Gap in Representation Autoencoders

Representation autoencoders (RAEs) reuse features from a pretrained visual encoder as reconstruction and diffusion latents, integrating strong visual representations into image generation. However, RAEs still need to decide which encoder layers form the shared latent space for the generator and pixel decoder. This choi...

Hong-Yang Du, Yun-Fei Xie, Jun-Jie Ye et al. · 0 citations
Preprint Aug 2026

VIScore: Diagnosing Planning-Relevant Quality in Latent World Models

The Veracity-Influence-Sobriety score (VIScore), a metric that quantifies the reachability and capacity of a predictor given the encoded feature, and the hallucination of the searching-based planner, is proposed, showcasing the importance of these three aspects in planning success.

Hai-Yu Wu, Randall Balestriero, Morgan E. Levine · 3 citations

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