Pierre Ruyssen

Publications by Year

Research Areas

Sparse and Compressive Sensing Techniques, Medical Image Segmentation Techniques, Domain Adaptation and Few-Shot Learning, Blind Source Separation Techniques, Stochastic Gradient Optimization Techniques

Most-Cited Works

• → A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark(2019)160 cited
• The Visual Task Adaptation Benchmark(2019)
• → Croissant: A Metadata Format for ML-Ready Datasets(2024)16 cited
• → Optimal stopping via randomized neural networks(2023)8 cited
• → Low-Rank Plus Sparse Decomposition of Covariance Matrices Using Neural Network Parametrization(2021)7 cited
• → Denise: Deep Robust Principal Component Analysis for Positive Semidefinite Matrices(2020)2 cited
• → Low-Rank plus Sparse Decomposition of Covariance Matrices using Neural\n Network Parametrization(2019)1 cited
• → Denise: Deep Robust Principal Component Analysis for Positive\n Semidefinite Matrices(2020)1 cited