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20102026
most citedScikit-learn: Machine Learning in Python

63.6k citations · 65.9k across the 85 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.LG2023

MultiView Independent Component Analysis with Delays

Ambroise Heurtebise, Pierre Ablin, Alexandre Gramfort

Linear Independent Component Analysis (ICA) is a blind source separation technique that has been used in various domains to identify independent latent sources from observed signal…

q-bio.OT2023★ 60 cited

The Past, Present, and Future of the Brain Imaging Data Structure (BIDS)

Russell A. Poldrack, Christopher J. Markiewicz, Stefan Appelhoff +111

The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is mean…

eess.SP2023★ 4 cited

Evaluating the structure of cognitive tasks with transfer learning

Bruno Aristimunha, Raphael Y. de Camargo, Walter H. Lopez Pinaya +3

Electroencephalography (EEG) decoding is a challenging task due to the limited availability of labelled data. While transfer learning is a promising technique to address this chall…

stat.ML2023★ 2 cited

L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference

Julia Linhart, Alexandre Gramfort, Pedro L. C. Rodrigues

Many recent works in simulation-based inference (SBI) rely on deep generative models to approximate complex, high-dimensional posterior distributions. However, evaluating whether o…

stat.ML2023

Optimizing the Noise in Self-Supervised Learning: from Importance Sampling to Noise-Contrastive Estimation

Omar Chehab, Alexandre Gramfort, Aapo Hyvarinen

Self-supervised learning is an increasingly popular approach to unsupervised learning, achieving state-of-the-art results. A prevalent approach consists in contrasting data points…