Author

Gabriele Scalia

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#machine learning Preprint Sep 2026

When Riemann flows with Wasserstein: Generative Modeling of Probability Distributions on Manifolds

Many scientific datasets, such as molecular conformational ensembles or single-cell tissue measurements, are naturally modeled as meta-distributions: distributions over probability measures on non-Euclidean domains. Existing generative methods largely assume Euclidean geometry and fail to capture this structure. We int...

D. Haviv, E. De Brouwer, Rishabh Anand et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Biology-in-the-loop: Amortized Adaptive Hit Discovery in CRISPR Screens

Many biological discovery problems require experiments to be selected sequentially under constrained budgets. CRISPR screening is a prominent example, as exhaustive perturbation testing is often infeasible and candidate perturbations must instead be prioritized over multiple experimental rounds. Despite the importance...

Carl N. Edwards, E. De Brouwer, Xiner Li et al. · 0 citations