Benjamin Ricaud
EPFL STI IEL LTS2
ELE 236 (Bâtiment ELE)
Station 11
CH-1015 Lausanne
Biographie
Benjamin Ricaud a un doctorat en physique mathématiques de l'Université de Toulon, France (2007).
Il a travaillé au Laboratoire de Mécanique et d'acoustique de Marseille comme postdoctorant ainsi qu'au Centre de Physique Théorique de Marseille, au CEA Cadarache et au Laboratoire d'Analyse Topologie et Probabilités Marseille.
Travail en cours
Recherche sur les thèmes:
* Traitement du signal
* Frames et systèmes de functions (mesures de concentration, sparsité, principle d'incertitude...)
* Operateurs et fonctions sur graphes
* Analyse de signaux, en particulier audios
* Analyse de graphes et réseaux
Compétences
Traitement du signal sur les graphes
Théorie spectrale
Analyse temps-fréquence
Théorie spectrale
Analyse temps-fréquence
Publications
Infoscience
Publications avec l'EPFL
B. Ricaud; P. Borgnat; N. Tremblay; P. Goncalves; P. Vandergheynst : Fourier could be a data scientist: From graph Fourier transform to signal processing on graphs; Comptes Rendus Physique. 2019-07-01. DOI : 10.1016/j.crhy.2019.08.003.
N. Aspert; V. Miz; B. Ricaud; P. Vandergheynst : A Graph-structured Dataset for Wikipedia Research. 2019-05-13. Companion Proceedings of the 2019 World Wide Web Conference (WWW '19 Companion), San Francisco, CA, USA, May 13-17, 2019. DOI : 10.1145/3308560.3316757.
V. Miz; B. Ricaud; K. Benzi; P. Vandergheynst : Anomaly Detection in the Dynamics of Web and Social Networks Using Associative Memory. 2019-01-01. World Wide Web Conference (WWW), San Francisco, CA, May 13-17, 2019. p. 1290-1299. DOI : 10.1145/3308558.3313541.
V. Miz; B. Ricaud; K. Benzi; P. Vandergheynst : Anomaly detection in the dynamics of web and social networks. 2019. The Web Conference 2019, San Francisco, California, USA, May 13-17, 2019.
F. Grassi; A. Loukas; N. Perraudin; B. Ricaud : A Time-Vertex Signal Processing Framework; IEEE Transactions on Signal Processing. 2018. DOI : 10.1109/TSP.2017.2775589.
N. Perraudin; B. Ricaud; D. I. Shuman; P. Vandergheynst : Global and Local Uncertainty Principles for Signals on Graphs; APSIPA Transactions on Signal and Information Processing. 2018. DOI : 10.1017/ATSIP.2018.2.
P. Vandergheynst; B. Ricaud; K. Benzi ; System, device, and method for contextual knowledge retrieval and display. WO2017187401 . 2017.
J. Paratte / P. Vandergheynst (Dir.) : Graph-based Methods for Visualization and Clustering. Lausanne, EPFL, 2017. DOI : 10.5075/epfl-thesis-7952.
A. Griffa; B. Ricaud; K. Benzi; X. Bresson; A. Daducci et al. : Transient networks of spatio-temporal connectivity map communication pathways in brain functional systems; Neuroimage. 2017. DOI : 10.1016/j.neuroimage.2017.04.015.
K. Smith; B. Ricaud; N. Shahid; S. Rhodes; J. M. Starr et al. : Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy; Scientific reports, Nature. 2017. DOI : 10.1038/srep42013.
H. Lachambre; B. Ricaud; G. Stempfel; B. Torresani; C. Wiesmeyr et al. : Optimal Window and Lattice in Gabor Transform. Application to Audio Analysis.. 2016. 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), Timisoara, ROMANIA, SEP 21-24, 2015. p. 109-112. DOI : 10.1109/Synasc.2015.25.
F. Grassi; N. Perraudin; B. Ricaud : Tracking Time-Vertex Propagation using Dynamic Graph Wavelets. 2016. 4th IEEE Global Conference on Signal and Information Processing, Washington D.C., USA, December 7–9, 2016.
M. G. Rasmussen; B. Ricaud; B. Savoie : On the optical properties of carbon nanotubes. Part I. A general formula for the dynamical optical conductivity; Journal Of Mathematical Physics. 2016. DOI : 10.1063/1.4940135.
K. Benzi; B. Ricaud; P. Vandergheynst : Principal Patterns on Graphs: Discovering Coherent Structures in Datasets; IEEE Transactions on Signal and Information Processing over Networks. 2016. DOI : 10.1109/TSIPN.2016.2524500.
N. Shahid; N. Perraudin; V. Kalofolias; B. Ricaud; P. Vandergheynst : PCA using graph total variation. 2016. 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Shanghai, China, 20-25 March 2016. p. 4668-4672.
D. Shuman; B. Ricaud; P. Vandergheynst : Vertex-Frequency Analysis on Graphs; Applied And Computational Harmonic Analysis. 2016. DOI : 10.1016/j.acha.2015.02.005.
K. Benzi; A. Griffa; B. Ricaud; P. Vandergheynst; J.-P. Thiran et al. : Dynamic activation patterns in brain MRI data. 2015. 25th Colloque Gretsi, Lyon.
A. Griffa; K. Benzi; B. Ricaud; X. Bresson; P. Vandergheynst et al. : Mapping resting-state dynamics on spatio-temporal graphs: a combined functional and diffusion MRI approach. 2015. 23rd International Symposium on Magnetic Resonance in Medicine (ISMRM), Toronto.
B. Ricaud; G. Stempfel; B. Torresani; C. Wiesmeyr; H. Lachambre et al. : An optimally concentrated Gabor transform for localized time-frequency components; Advances In Computational Mathematics. 2014. DOI : 10.1007/s10444-013-9337-9.
B. Ricaud; B. Torresani : A survey of uncertainty principles and some signal processing applications; Advances In Computational Mathematics. 2014. DOI : 10.1007/s10444-013-9323-2.
B. Ricaud; D. I. Shuman; P. Vandergheynst : On the Sparsity of Wavelet Coefficients for Signals on Graphs. 2013. Conference on Wavelets and Sparsity XV. DOI : 10.1117/12.2022850.
B. Ricaud; B. Torresani : Refined Support and Entropic Uncertainty Inequalities; Ieee Transactions On Information Theory. 2013. DOI : 10.1109/Tit.2013.2249655.
D. Shuman; B. Ricaud; P. Vandergheynst : A Windowed Graph Fourier Transform. 2012. IEEE Statistical Signal Processing Workshop, Ann Arbor, Michigan, USA, August 5-8, 2012. p. 133-136. DOI : 10.1109/SSP.2012.6319640.