# Benjamin Ricaud

benjamin.ricaud@epfl.ch +41 21 693 81 76 https://github.com/bricaud

**EPFL STI IEL LTS2 **

ELE 236 (Bâtiment ELE)

Station 11

CH-1015 Lausanne

### Fields of expertise

Signal processing on graphs

Machine learning

Data science

Machine learning

Data science

### Biography

Benjamin Ricaud has a PhD in Mathematical Physics from the University of Toulon France (2007). Previously, he has been a researcher at the Laboratory of Mechanics and Acoustics, Marseilles, the Center of Theoretical Physics, Marseilles, the CEA Cadarache and the LATP (Math Institute) Marseilles.

From 2012 to 2016 he held a research position at EPFL within the LTS2 lab. In 2016 he founded a startup specialized in data science Evia cybernetics. He is now a research scientist back in the LTS2 since January 2018.

His actual research is focused on networks, data analysis on networks and the understanding/tracking of dynamic activity over networks.

### Current work

Analysis of graphs and networks

Dynamic activity over networks

Theoretical concepts and methods for the extraction of information from data with a graph structure

Machine learning

Signal and image processing

### Infoscience publications

#### Publications with EPFL

V. Miz; J. Hanna; N. Aspert; B. Ricaud; P. Vandergheynst :

**What is Trending on Wikipedia? Capturing Trends and Language Biases Across Wikipedia Editions**. 2020-04-20. The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020. DOI : 10.1145/3366424.3383567.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.