الباحثون

Marco Fumero

المنشورات 2

نسخة أولية وصول مفتوح

From Modes to Memories: Characterizing the Scale-Space Dynamics of Diffusion Models

Diffusion models are typically viewed as stochastic processes that transform noise into data. We take a complementary perspective: a diffusion model defines a family of deterministic dynamical systems indexed by noise scale. At each fixed scale $σ$, we treat the denoiser as a self-map and study its dynamics. For an exa …

نسخة أولية وصول مفتوح

$λ$-JEPA Spectral Anti-Collapse Regularization for Self-Supervised Learning

Joint-embedding self-supervised learning typically combines an invariance objective across augmented views with additional mechanisms to prevent representational collapse. These objectives are often applied after a projection head, while downstream tasks use the backbone representation before the projector. We find tha …

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