output
20082025
most citedClustered Multi-Task Learning: A Convex Formulation

285 citations

researchers with a paper here
collaborating institutions

10 papers

stat.AP2025

A note on a resampling procedure for estimating the density at a given quantile

Beatriz Farah, Aurélien Latouche, Olivier Bouaziz

In this paper we refine the procedure proposed by Lin et al. (2015) to estimate the density at a given quantile based on a resampling method. The approach consists on generating mu…

cs.CV2025★ 2 cited

MIPHEI-ViT: Multiplex Immunofluorescence Prediction from H&E Images using ViT Foundation Models

Guillaume Balezo, Roger Trullo, Albert Pla Planas +2

Histopathological analysis is a cornerstone of cancer diagnosis, with Hematoxylin and Eosin (H&E) staining routinely acquired for every patient to visualize cell morphology and tis…

eess.IV2024★ 2 cited

Interpretable Embeddings for Segmentation-Free Single-Cell Analysis in Multiplex Imaging

Simon Gutwein, Daria Lazic, Thomas Walter +2

Multiplex Imaging (MI) enables the simultaneous visualization of multiple biological markers in separate imaging channels at subcellular resolution, providing valuable insights int…

stat.ML2017

Supervised Quantile Normalisation

Marine Le Morvan, Jean-Philippe Vert

Quantile normalisation is a popular normalisation method for data subject to unwanted variations such as images, speech, or genomic data. It applies a monotonic transformation to t…

stat.ML2016★ 5 cited

Network-Guided Biomarker Discovery

Chloé-Agathe Azencott

Identifying measurable genetic indicators (or biomarkers) of a specific condition of a biological system is a key element of precision medicine. Indeed it allows to tailor diagnost…

stat.ML2014★ 23 cited

Tight convex relaxations for sparse matrix factorization

Emile Richard, Guillaume Obozinski, Jean-Philippe Vert

Based on a new atomic norm, we propose a new convex formulation for sparse matrix factorization problems in which the number of nonzero elements of the factors is assumed fixed and…