Gaussian Process Prior Variational Autoencoders. - Francesco Paolo Casale; Adrian V. Dalca; Luca Saglietti; Jennifer Listgarten; Nicoló Fusi (NeurIPS, 2018)

Probabilistic Neural Architecture Search. - Francesco Paolo Casale; Jonathan Gordon 003; Nicoló Fusi (CoRR, 2019)

BEL: A Bag Embedding Loss for Transformer Enhances Multiple Instance Whole Slide Image Classification. - Daniel Sens; Ario Sadafi; Francesco Paolo Casale; Nassir Navab; Carsten Marr (ISBI, 2023)

Attention-based Multi-instance Mixed Models. - Jan P. Engelmann; Alessandro Palma; Jakub M. Tomczak; Fabian J. Theis; Francesco Paolo Casale (CoRR, 2023)

Mixed Models with Multiple Instance Learning. - Jan P. Engelmann; Alessandro Palma; Jakub M. Tomczak; Fabian J. Theis; Francesco Paolo Casale (AISTATS, 2024)

Disease Risk Predictions with Differentiable Mendelian Randomization. - Ludwig Gräf; Daniel Sens; Liubov Shilova; Francesco Paolo Casale (RECOMB, 2024)

SCAS dashboard: A tool to intuitively and interactively analyze Slurm cluster usage. - Thomas Walzthoeni; Bom Bahadur Singiali; N. William Rayner; Francesco Paolo Casale; Christoph Feest; Carsten Marr; Alf Wachsmann (J. Open Source Softw., 2024)

Bayesian Aggregation of Multiple Annotations Enhances Rare Variant Association Testing. - Antonio Nappi; Na Cai; Francesco Paolo Casale (RECOMB, 2025)

Random Walk Diffusion for Efficient Large-Scale Graph Generation. - Tobias Bernecker; Ghalia Rehawi; Francesco Paolo Casale; Janine Knauer-Arloth; Annalisa Marsico (Trans. Mach. Learn. Res., 2025)