4 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…
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…
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…
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…