3 papers
cs.LG2026
From Modes to Memories: Characterizing the Scale-Space Dynamics of Diffusion Models
Cristina López Amado, Marco Fumero, Francesco Locatello
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 determinist…
cs.LG2026
Sink vs. diagonal patterns as mechanisms for attention switch and oversmoothing prevention
Peter Súkeník, Cristina López Amado, Christoph H. Lampert +1
This paper studies the role of sinks and diagonal patterns as attention switch and anti-oversmoothing mechanisms. We analyze geometric conditions under which sinks can be represent…
cs.LG2025
Complex-Weighted Convolutional Networks: Provable Expressiveness via Complex Diffusion
Cristina López Amado, Tassilo Schwarz, Yu Tian +1
Graph Neural Networks (GNNs) have achieved remarkable success across diverse applications, yet they remain limited by oversmoothing and poor performance on heterophilic graphs. To…