Pierre Ruyssen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 7

Top Topics

Low Rank Matrix

Robust Principal Component Analysis

Positive Semidefinite Matrices

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Trans. Mach. Learn. Res.

Publications

Mubashara Akhtar, Omar Benjelloun, Costanza Conforti, Joan Giner-Miguelez, Nitisha Jain, Michael Kuchnik, Quentin Lhoest, Pierre Marcenac, Manil Maskey, Peter Mattson, Luis Oala, Pierre Ruyssen, Rajat Shinde, Elena Simperl, Goeffry Thomas, Slava Tykhonov, Joaquin Vanschoren, Steffen Vogler, Carole-Jean Wu
Croissant: A Metadata Format for ML-Ready Datasets. CoRR (2024)
Mubashara Akhtar, Omar Benjelloun, Costanza Conforti, Pieter Gijsbers, Joan Giner-Miguelez, Nitisha Jain, Michael Kuchnik, Quentin Lhoest, Pierre Marcenac, Manil Maskey, Peter Mattson, Luis Oala, Pierre Ruyssen, Rajat Shinde, Elena Simperl, Goeffry Thomas, Slava Tykhonov, Joaquin Vanschoren, Jos van der Velde, Steffen Vogler, Carole-Jean Wu
Croissant: A Metadata Format for ML-Ready Datasets. DEEM@SIGMOD (2024)
Calypso Herrera, Florian Krach, Anastasis Kratsios, Pierre Ruyssen, Josef Teichmann
Denise: Deep Robust Principal Component Analysis for Positive Semidefinite Matrices. Trans. Mach. Learn. Res. 2023 (2023)
Michel Baes, Calypso Herrera, Ariel Neufeld, Pierre Ruyssen
Low-Rank Plus Sparse Decomposition of Covariance Matrices Using Neural Network Parametrization. IEEE Trans. Neural Networks Learn. Syst. 34 (1) (2023)
Calypso Herrera, Florian Krach, Pierre Ruyssen, Josef Teichmann
Optimal Stopping via Randomized Neural Networks. CoRR (2021)
Xiaohua Zhai, Joan Puigcerver, Alexander Kolesnikov, Pierre Ruyssen, Carlos Riquelme, Mario Lucic, Josip Djolonga, André Susano Pinto, Maxim Neumann, Alexey Dosovitskiy, Lucas Beyer, Olivier Bachem, Michael Tschannen, Marcin Michalski, Olivier Bousquet, Sylvain Gelly, Neil Houlsby
The Visual Task Adaptation Benchmark. CoRR (2019)
Michel Baes, Calypso Herrera, Ariel Neufeld, Pierre Ruyssen
Low-Rank plus Sparse Decomposition of Covariance Matrices using Neural Network Parametrization. CoRR (2019)