Author

Andrea Zerio

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#artificial intelligence Preprint Oct 2026

Discrete Wasserstein Flows for One-Step Generative Modeling

We introduce a new framework for one-step generative modelling on finite state spaces. To extend drifting beyond continuous domains, we use discrete Wasserstein geometry to define a target-relative KL gradient flow over the transitions of a reversible Markov kernel. We realize this probability flow at the particle leve...

Alessandro Micheli, Andrea Zerio, Samir Bhatt · 0 citations

#machine learning Preprint Sep 2026

Sequence-Informed Geometric Evaluation of RNA 3D Structures

Computational RNA structure pipelines generate many candidate conformations for the same sequence. Reliable evaluation therefore requires more than recognising plausible geometry, it requires determining whether that geometry is compatible with the sequence. We introduce SIRGE, a sequence-informed geometric evaluator t...

Andrea Zerio, Yi-Song Yao, Alessandro Micheli et al. · 0 citations