INDEX · PUBLICATIONS

Publications.

Selected research outputs across generative models, probabilistic methods, geometric learning, and applications in science.

PUB · 01 2026
NeurIPS 2026 Workshop · GDDL Featured

Discrete Wasserstein Flows for One-Step Generative Modeling

Alessandro Micheli, Andrea Zerio, Samir Bhatt

Optimal Transport Generative Modelling Discrete Data
PUB · 02 2026
NeurIPS 2026 Workshop · GDDL Featured

Generative Modeling on Metric Graphs via Neural Optimal Transport

Alessandro Micheli, Yueqi Cao, Anthea Monod, Samir Bhatt

Optimal Transport Generative Modelling Metric Graphs
PUB · 03 2026
NeurIPS 2026 Workshop · GEM Featured

Sequence-Informed Geometric Evaluation of RNA 3D Structures

Andrea Zerio, Yighua Yao, Alessandro Micheli, Roland G. Huber, Mile Sikic, Samir Bhatt, Andres R. Masegosa, Yuangang Pan

Computational Biology Geometric ML RNA Structure
PUB · 04 2026
ICML 2026 Featured

Riemannian Neural Optimal Transport

Alessandro Micheli, Yueqi Cao, Anthea Monod, Samir Bhatt

Optimal Transport Geometric ML Generative Modelling
PUB · 05 2026
Preprint · arXiv Featured

Entropic Riemannian Neural Optimal Transport

Alessandro Micheli, Silvia Sapora, Anthea Monod, Samir Bhatt

Optimal Transport Geometric ML Entropic Regularisation
PUB · 06 2025
NeurIPS 2025 Featured

NeuralSurv: Deep Survival Analysis with Bayesian Uncertainty Quantification

Alessandro Micheli, ...

Bayesian Deep Learning Survival Analysis Uncertainty Quantification