Nicolas Tremblay

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 46

Top Topics

Point Processes

Top Venues

Publications

Hugo Jaquard, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
Random Multi-Type Spanning Forests for Synchronization on Sparse Graphs. CoRR (2024)
Hugo Jaquard, Michaël Fanuel, Pierre-Olivier Amblard, Rémi Bardenet, Simon Barthelmé, Nicolas Tremblay
Smoothing Complex-Valued Signals on Graphs with Monte-Carlo. ICASSP (2023)
Matthieu Cordonnier, Nicolas Keriven, Nicolas Tremblay, Samuel Vaiter
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs. CoRR (2023)
Simon Barthelmé, Nicolas Tremblay, Pierre-Olivier Amblard
A Faster Sampler for Discrete Determinantal Point Processes. AISTATS (2023)
Simon Barthelmé, Pierre-Olivier Amblard, Nicolas Tremblay, Konstantin Usevich
Gaussian Process Regression in the Flat Limit. CoRR (2022)
Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
Variance Reduction in Stochastic Methods for Large-Scale Regularized Least-Squares Problems. EUSIPCO (2022)
Simon Barthelmé, Nicolas Tremblay, Pierre-Olivier Amblard
A Faster Sampler for Discrete Determinantal Point Processes. CoRR (2022)
Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
Nishimori meets Bethe: a spectral method for node classification in sparse weighted graphs. CoRR (2021)
Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
Graph Tikhonov Regularization and Interpolation Via Random Spanning Forests. IEEE Trans. Signal Inf. Process. over Networks 7 (2021)
Hashem Ghanem, Nicolas Keriven, Nicolas Tremblay
Fast Graph Kernel with Optical Random Features. ICASSP (2021)
Kosal Khun, Nicolas Tremblay, Bernard Panneton, Philippe Vigneault, Etienne Lord, François Cavayas, Claude Codjia
Use of Oblique RGB Imagery and Apparent Surface Area of Plants for Early Estimation of Above-Ground Corn Biomass. Remote. Sens. 13 (20) (2021)
Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
A Unified Framework for Spectral Clustering in Sparse Graphs. J. Mach. Learn. Res. 22 (2021)
Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian. NeurIPS (2020)
Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
Graph Tikhonov Regularization and Interpolation via Random Spanning Forests. CoRR (2020)
Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
Smoothing Graph Signals via Random Spanning Forests. ICASSP (2020)
Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
A unified framework for spectral clustering in sparse graphs. CoRR (2020)
Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
Optimal Laplacian Regularization for Sparse Spectral Community Detection. ICASSP (2020)
Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian. CoRR (2020)
Hashem Ghanem, Nicolas Keriven, Nicolas Tremblay
Fast Graph Kernel with Optical Random Features. CoRR (2020)
Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
Optimized Deformed Laplacian for Spectrum-based Community Detection in Sparse Heterogeneous Graphs. CoRR (2019)
Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
Smoothing graph signals via random spanning forests. CoRR (2019)
Nicolas Tremblay, Andreas Loukas
Approximating Spectral Clustering via Sampling: a Review. CoRR (2019)
Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
Optimal Laplacian regularization for sparse spectral community detection. CoRR (2019)
Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs. NeurIPS (2019)
Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard
Determinantal Point Processes for Coresets. J. Mach. Learn. Res. 20 (2019)
Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard
Determinantal Point Processes for Coresets. CoRR (2018)
Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
Subsampling with K Determinantal Point Processes for Estimating Statistics in Large Data Sets. SSP (2018)
Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard
Optimized Algorithms to Sample Determinantal Point Processes. CoRR (2018)
Luc Le Magoarou, Rémi Gribonval, Nicolas Tremblay
Approximate Fast Graph Fourier Transforms via Multilayer Sparse Approximations. IEEE Trans. Signal Inf. Process. over Networks 4 (2) (2018)
Yacine Bouroubi, Wided Batita, François Cavayas, Nicolas Tremblay
Ground Reflectance Retrieval on Horizontal and Inclined Terrains Using the Software Package REFLECT. Remote. Sens. 10 (10) (2018)
Claude Y. Laporte, Nicolas Tremblay, Jamil Menaceur, Denis Poliquin, Ronald Houde
Systems engineering and management processes for small organizations with ISO/IEC 29110: An implementation in a small public transportation company. SysCon (2017)
Luc Le Magoarou, Nicolas Tremblay, Rémi Gribonval
Analyzing the approximation error of the fast graph Fourier transform. ACSSC (2017)
Nicolas Tremblay, Pierre-Olivier Amblard, Simon Barthelmé
Graph sampling with determinantal processes. EUSIPCO (2017)
Rasha E. Boulos, Nicolas Tremblay, Alain Arneodo, Pierre Borgnat, Benjamin Audit
Multi-scale structural community organisation of the human genome. BMC Bioinform. 18 (1) (2017)
Nicolas Tremblay, Pierre-Olivier Amblard, Simon Barthelmé
Graph sampling with determinantal processes. CoRR (2017)
Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard
Echantillonnage de signaux sur graphes via des processus déterminantaux. CoRR (2017)
Nicolas Tremblay, Paulo Gonçalves, Pierre Borgnat
Design of graph filters and filterbanks. CoRR (2017)
Luc Le Magoarou, Nicolas Tremblay, Rémi Gribonval
Analyzing the Approximation Error of the Fast Graph Fourier Transform. CoRR (2017)
Nicolas Keriven, Nicolas Tremblay, Yann Traonmilin, Rémi Gribonval
Compressive K-means. ICASSP (2017)
Nicolas Tremblay, Pierre Borgnat
Subgraph-Based Filterbanks for Graph Signals. IEEE Trans. Signal Process. 64 (15) (2016)
Luc Le Magoarou, Rémi Gribonval, Nicolas Tremblay
Approximate Fast Fourier Transforms on graphs via multi-layer sparse approximations. CoRR (2016)
Nicolas Tremblay, Gilles Puy, Rémi Gribonval, Pierre Vandergheynst
Compressive Spectral Clustering. CoRR (2016)
Nicolas Tremblay, Gilles Puy, Rémi Gribonval, Pierre Vandergheynst
Compressive Spectral Clustering. ICML (2016)
Claude Y. Laporte, Nicolas Tremblay, Jamil Menaceur, Denis Poliquin
Implementing the New ISO/IEC 29110 Systems Engineering Process Standard in a Small Public Transportation Company. EuroSPI (2016)
Nicolas Keriven, Nicolas Tremblay, Yann Traonmilin, Rémi Gribonval
Compressive K-means. CoRR (2016)
Nicolas Tremblay, Gilles Puy, Pierre Borgnat, Rémi Gribonval, Pierre Vandergheynst
Accelerated spectral clustering using graph filtering of random signals. ICASSP (2016)
Gilles Puy, Nicolas Tremblay, Rémi Gribonval, Pierre Vandergheynst
Random sampling of bandlimited signals on graphs. CoRR (2015)
Nicolas Tremblay, Pierre Borgnat
Joint filtering of graph and graph-signals. ACSSC (2015)
Stéphane G. Roux, Nicolas Tremblay, Pierre Borgnat, Patrice Abry, Herwig Wendt, Paul Messier
Multiscale anisotropic texture unsupervised clustering for photographic paper. WIFS (2015)
Nicolas Tremblay, Gilles Puy, Pierre Borgnat, Rémi Gribonval, Pierre Vandergheynst
Accelerated Spectral Clustering Using Graph Filtering Of Random Signals. CoRR (2015)
Pierre Borgnat, Paulo Gonçalves, Nicolas Tremblay, Nathanael Willaime-Angonin
Community mining with graph filters for correlation matrices. ACSSC (2015)
Nicolas Tremblay, Pierre Borgnat
Subgraph-based filterbanks for graph signals. CoRR (2015)
Patrice Abry, Stéphane G. Roux, Herwig Wendt, Paul Messier, Andrew G. Klein, Nicolas Tremblay, Pierre Borgnat, Stéphane Jaffard, Beatrice Vedel, Jim Coddington, Lee Ann Daffner
Multiscale Anisotropic Texture Analysis and Classification of Photographic Prints: Art scholarship meets image processing algorithms. IEEE Signal Process. Mag. 32 (4) (2015)
Nicolas Tremblay, Pierre Borgnat
Graph Wavelets for Multiscale Community Mining. IEEE Trans. Signal Process. 62 (20) (2014)
Yacine Bouroubi, Nicolas Tremblay, Philippe Vigneault, Mathieu Benoit
Linear spectral unmixing for crop and soil information extraction from a single worldview-2 image. IGARSS (2014)
Nicolas Tremblay, Pierre Borgnat, Patrick Flandrin
Graph Empirical Mode Decomposition. EUSIPCO (2014)
Romain Fontugne, Nicolas Tremblay, Pierre Borgnat, Patrick Flandrin, Hiroshi Esaki
Mining anomalous electricity consumption using Ensemble Empirical Mode Decomposition. ICASSP (2013)
Romain Fontugne, Jorge Ortiz, Nicolas Tremblay, Pierre Borgnat, Patrick Flandrin, Kensuke Fukuda, David E. Culler, Hiroshi Esaki
Strip, bind, and search: a method for identifying abnormal energy consumption in buildings. IPSN (2013)
Nicolas Tremblay, Pierre Borgnat
Multiscale community mining in networks using spectral graph wavelets. EUSIPCO (2013)
Pengfei Chen, Jihua Wang, Wenjiang Huang, Nicolas Tremblay, Yangzhu Ou, Qian Zhang
Critical Nitrogen Curve and Remote Detection of Nitrogen Nutrition Index for Corn in the Northwestern Plain of Shandong Province, China. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6 (2-2) (2013)
Nicolas Tremblay, Pierre Borgnat
Multiscale community mining in networks using the graph wavelet transform of random vectors. GlobalSIP (2013)
Nicolas Tremblay, Pierre Borgnat
Multiscale Community Mining in Networks Using Spectral Graph Wavelets CoRR (2012)
Nicolas Tremblay, Alain Barrat, Cary Forest, Mark Nornberg, Jean-François Pinton, Pierre Borgnat
Bootstrapping under constraint for the assessment of group behavior in human contact networks CoRR (2012)
Yacine Bouroubi, Nicolas Tremblay, Philippe Vigneault, Carl Bélec, Bernard Panneton, Serge Guillaume
Fuzzy Logic Approach for Spatially Variable Nitrogen Fertilization of Corn Based on Soil, Crop and Precipitation Information. ICCSA (1) (2011)
Michael Florian, Michael Mahut, Nicolas Tremblay
Application of a simulation-based dynamic traffic assignment model. Eur. J. Oper. Res. 189 (3) (2008)
Driss Haboudane, Nicolas Tremblay, John R. Miller, Philippe Vigneault
Remote Estimation of Crop Chlorophyll Content Using Spectral Indices Derived From Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. 46 (2) (2008)
Driss Haboudane, Nicolas Tremblay, John R. Miller, Philippe Vigneault
Estimation of Plant Chlorophyll using Hyperspectral Observations and Radiative Transfer Models: Spectral Indices Sensitivity and Crop-Type Effects. IGARSS (3) (2008)
Yannick Lanthier, Abdou Bannari, Driss Haboudane, John R. Miller, Nicolas Tremblay
Hyperspectral Data Segmentation and Classification in Precision Agriculture: A Multi-Scale Analysis. IGARSS (2) (2008)
Driss Haboudane, Nicolas Tremblay, Philippe Vigneault, John R. Miller
Indices-based approach for crop chlorophyll content retrieval from hyperspectral data. IGARSS (2007)
Pablo J. Zarco-Tejada, John R. Miller, Driss Haboudane, Nicolas Tremblay, S. Apostol
Detection of chlorophyll fluorescence in vegetation from airborne hyperspectral CASI imagery in the red edge spectral region. IGARSS (2003)
Nicolas Tremblay, Philippe Vigneault, Driss Haboudane, John R. Miller
Corn OSAVI as related to soil electrical conductivity and nitrogen fertilization rates. IGARSS (2003)
Baoxin Hu, Shen-En Qian, Driss Haboudane, John R. Miller, Allan Hollinger, Nicolas Tremblay
Impact of vector quantization compression on hyperspectral data in the retrieval accuracies of crop chlorophyll content for precision agriculture. IGARSS (2002)
Nicolas Tremblay, Michael Florian
Temporal shortest paths: Parallel computing implementations. Parallel Comput. 27 (12) (2001)