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cs.LG2026
The Spacetime of Diffusion Models: An Information Geometry Perspective
RafaÅ Karczewski, Markus Heinonen, Alison Pouplin +2
We present a novel geometric perspective on the latent space of diffusion models. We first show that the standard pullback approach, utilizing the deterministic probability flow OD…
cs.LG2025
Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models
RafaÅ Karczewski, Markus Heinonen, Vikas Garg
Diffusion models have emerged as a powerful class of generative models, capable of producing high-quality images by mapping noise to a data distribution. However, recent findings s…
cs.LG2025
What Ails Generative Structure-based Drug Design: Expressivity is Too Little or Too Much?
RafaÅ Karczewski, Samuel Kaski, Markus Heinonen +1
Several generative models with elaborate training and sampling procedures have been proposed to accelerate structure-based drug design (SBDD); however, their empirical performance…