Nicolas Tremblay's publications

PhD dissertation

Defended in October 2014, and available in French:
"Réseaux et signal: des outils de traitement du signal pour l'analyse des réseaux." [PDF]

Awaiting publication

[iv] Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard. Determinantal Point Processes for Coresets Submitted, 2018. [PDF]

 
[iii] Simon Barthelmé, Pierre-Olivier Amblard, Nicolas Tremblay, Asymptotic Equivalence of Fixed-size and Varying-size Determinantal Point Processes. Submitted, 2018. [PDF]

 
[ii] Nicolas Tremblay, Paulo Gonçalves, Pierre Borgnat. Design of graph filters and filterbanks. Chapter of collective book. Submitted, 2017. [PDF]

 
[i] Nicolas Tremblay. Independent reanalysis of alleged mind-matter interaction in double-slit experimental data. Submitted, 2016.

List of publications

Papers in refereed journals

[9] Luc Le Magoarou, Rémi Gribonval, Nicolas Tremblay. Approximate Fast Fourier Transforms on graphs via multi-layer sparse approximations. In IEEE Transactions on Signal and Information Processing over Networks, in press, 2017. [PDF] [Code]

 
[8] Rasha Boulos, Nicolas Tremblay, Alain Arneodo, Pierre Borgnat, Benjamin Audit. Multi-scale structural community organisation of the human genome. In BMC Bioinformatics, volume 18, number 1, 2017. [Project page] [PDF] [Sup. Mat.]

 
[7] Gilles Puy, Nicolas Tremblay, Rémi Gribonval, Pierre Vandergheynst. Random sampling of bandlimited signals on graphs. In Applied and Computational Harmonic Analysis, in press, 2016. [PDF] [Code]

 
[6] Nicolas Tremblay, Pierre Borgnat. Subgraph-based Filterbanks for Graph Signals. In IEEE Transactions on Signal Processing, volume 64, issue 15, pp. 3827-3840, 2016. [PDF] [Code]

 
[5] Patrice Abry, Stéphane G. Roux, Herwig Wendt, Paul Messier, Andrew G. Klein, Nicolas Tremblay, Pierre Borgnat, Stéphane Jaffard, Béatrice Vedel, Jim Coddington, and Lee Ann Daffner. Multiscale Anisotropic Texture Analysis and Classification of Photographic Prints In IEEE Signal Processing Magazine, volume 32, issue 4, pp. 18-27, July 2015. [PDF]

 
[4] Nicolas Tremblay and Pierre Borgnat. Graph Wavelets for Multiscale Community Mining In IEEE Transactions on Signal Processing, volume 62, issue 20, pp. 5227-5239., October 2014. [PDF] [Code]

 
[3] Nicolas Tremblay, Alain Barrat, Cary Forest, Mark Nornberg, Jean-François Pinton and Pierre Borgnat. Bootstrapping under constraint for the assessment of group behavior in human contact networks. In Phys. Rev. E, volume 88, issue 5, pp. 052812., November 2013. [PDF]

 
[2] Kévin Tse-Ve-Koon, Nicolas Tremblay, Doru Constantin and Eric Freyssingeas. Structure, thermodynamics and dynamics of the isotropic phase of spherical non-ionic surfactant micelles. In Journal of Colloids and Interface Sciences, Vol. 393, pp. 161–173, 2012. [PDF]

 
[1] Nicolas Tremblay, Eric Larose and Vincent Rossetto. Probing slow dynamics of consolidated granular multicomposite materials by Diffuse Acoustic Wave Spectroscopy (DAWS). In Journal of the Acoustical Society of America, Vol. 127, p. 1239, 2010. [PDF]

Publications in conference Proceedings with review committee

[20] Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay, Subsampling with k determinantal point processes for estimating statistics in large data sets. In SSP, June 2018.

 
[19] Luc Le Magoarou, Nicolas Tremblay, Rémi Gribonval. Analyzing the Approximation Error of the Fast Graph Fourier Transform. In ASILOMAR, November 2017. [PDF] [Code]

 
[18] Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard. Échantillonnage de signaux sur graphes via des processus déterminantaux. In GRETSI, September 2017. [PDF]

 
[17] Nicolas Tremblay, Pierre-Olivier Amblard, Simon Barthelmé. Graph Sampling with Determinantal Processes. In EUSIPCO, August 2017. [PDF]

 
[16] Nicolas Keriven, Nicolas Tremblay, Yann Traonmilin, Rémi Gribonval. Compressive K-means. In ICASSP, March 2017. [PDF] [Code]

 
[15] Nicolas Tremblay, Gilles Puy, Rémi Gribonval, Pierre Vandergheynst. Compressive Spectral Clustering. In ICML, June 2016. [PDF] [Code]

 
[14] Nicolas Tremblay, Gilles Puy, Pierre Borgnat, Rémi Gribonval, Pierre Vandergheynst. Accelerated Spectral Clustering Using Graph Filtering of Random Signals. In ICASSP, March 2016. [PDF]

 
[13] Nicolas Tremblay, Pierre Borgnat. Joint Filtering of Graph and Graph-Signals. In ASILOMAR Conference on Signals, Systems and Computers, November 2015. [PDF]

 
[12] Pierre Borgnat, Paulo Gonçalves, Nicolas Tremblay, Nathanaël Willaime-Angonin. Community Mining with Graph Filters for Correlation Matrices. In ASILOMAR Conference on Signals, Systems and Computers, November 2015. [PDF]

 
[11] Stéphane Roux, Nicolas Tremblay, Pierre Borgnat, Patrice Abry, Herwig Wendt, Paul Messier. Multiscale Anisotropic Texture Unsupervised Clustering for Photographic Paper. In WIFS (International Workshop on Information Forensics and Security), November 2015. [PDF]

 
[10] Nicolas Tremblay, Stéphane Roux, Pierre Borgnat, Patrice Abry, Herwig Wendt, Paul Messier. Texture classification of photographic papers: improving spectral clustering using filterbanks on graphs. In GRETSI, September 2015. [PDF]

 
[9] Rasha Boulos, Nicolas Tremblay, Alain Arnéodo, Pierre Borgnat, Benjamin Audit. Applications des ondelettes sur graphe en génomique. In GRETSI, September 2015. [PDF]

 
[8] Nicolas Tremblay, Pierre Borgnat and Patrick Flandrin. Graph Empirical Mode Decomposition. In EUSIPCO, September 2014. [PDF]

 
[7] Nicolas Tremblay et Pierre Borgnat. Multiscale Community Mining in Networks Using the Graph Wavelet Transform of Random Vectors. In GlobalSIP, December 2013. [PDF]

 
[6] Nicolas Tremblay et Pierre Borgnat. Multiscale Detection of Stable Communities Using Wavelets on Networks. In European Conference on Complex Systems, September 2013. [PDF]

 
[5] Nicolas Tremblay et Pierre Borgnat. Multiscale Community Mining in Networks Using Spectral Graph Wavelets. In EUSIPCO, September 2013. [PDF]

 
[4] Nicolas Tremblay et Pierre Borgnat. Partitionnement multi-échelle d’un graphe en communautés : détection des échelles pertinentes. In GRETSI, September 2013. [PDF]

 
[3] Romain Fontugne, Nicolas Tremblay, Pierre Borgnat, Patrick Flandrin et Hiroshi Esaki. Mining anomalous electricity consumption using ensemble empirical mode decomposition. In ICASSP, May 2013. [PDF]

 
[2] Romain Fontugne, Jorge Ortiz, Nicolas Tremblay, Pierre Borgnat, Patrick Flandrin, Kensuke Fukuda, David Culler and Hiroshi Esaki. Strip, Bind, and Search: A Method for Identifying Abnormal Energy Consumption in Buildings. In IPSN, April 2013. [PDF]

 
[1] Nicolas Tremblay, Alain Barrat, Cary Forest, Mark Nornberg, Jean-François Pinton et Pierre Borgnat. Constrained Graph Resampling for Group Assessment in Human Social Networks. In European Conference on Complex Systems, September 2012. [PDF]

Contributed chapter in collective books

[1] Pierre Borgnat, Céline Robardet, Patrice Abry, Patrick Flandrin, Jean-Baptiste Rouquier et Nicolas Tremblay. A Dynamical Network View of Lyon’s Vélo’v Shared Bicycle System. In book Dynamics On and Of Complex Networks, Volume 2, pp. 267--284, 2013. [PDF]

Participation in workshops (non-exhaustive)

[4] Nicolas Tremblay. Graph Signal Processing and Community Detection. In EURANDOM workshop on community detection and network reconstruction, Eindhoven, September 2017.

 
[3] Nicolas Tremblay, Gilles Puy, Rémi Gribonval, Pierre Vandergheynst. Compressive Spectral Clustering. In Graph Signal Processing Workshop, Philadelphia, May 2016.

 
[2] Nicolas Tremblay, Gilles Puy, Rémi Gribonval, Pierre Vandergheynst. Compressive Spectral Clustering. In Data Driven Approach to Networks and Language, Lyon, May 2016.

 
[1] Nicolas Tremblay et Pierre Borgnat. Multiscale Community Mining in Networks Using the Graph Wavelet Transform of Random Vectors. In Analysis and inference for networks, Workshop co-organized by the Gdr ISIS and the GdR Phenix, Paris, Nov 2013.