1 citations · 1 across the 4 of their papers we have counts for
7 papers
Score Distributions, Not Cells: Evaluating Single-Cell Perturbations Under Class Overlap
Youssef Marrakchi, Davide D'Ascenzo, Sebastiano Cultrera di Montesano
Most classification problems assume the classes are roughly separable, so that an individual sample can usually be assigned to one class. Single-cell perturbation data violates thi…
When Labels Have Structure: Improving Image Classification with Hierarchy-Aware Cross-Entropy
April Chan, Davide D'Ascenzo, Sebastiano Cultrera di Montesano
Standard cross-entropy is the default classification loss across virtually all of machine learning, yet it treats all misclassifications equally, ignoring the semantic distances th…
scDataset: Scalable Data Loading for Deep Learning on Large-Scale Single-Cell Omics
Davide D'Ascenzo, Sebastiano Cultrera di Montesano
Training deep learning models on single-cell datasets with hundreds of millions of cells requires loading data from disk, as these datasets exceed available memory. While random sa…
Chromatic Topological Data Analysis
Sebastiano Cultrera di Montesano, Ondrej Draganov, Herbert Edelsbrunner +1
Exploring the shape of point configurations has been a key driver in the evolution of TDA (short for topological data analysis) since its infancy. This survey illustrates the recen…
Banana Trees for the Persistence in Time Series Experimentally
Lara Ost, Sebastiano Cultrera di Montesano, Herbert Edelsbrunner
In numerous fields, dynamic time series data require continuous updates, necessitating efficient data processing techniques for accurate analysis. This paper examines the banana tr…
The Euclidean MST-ratio for Bi-colored Lattices
Sebastiano Cultrera di Montesano, Ondřej Draganov, Herbert Edelsbrunner +1
Given a finite set, , and a subset, , the \emph{MST-ratio} is the combined length of the minimum spanning trees of and …