Nicolas Tremblay

78 papers A* 3A 1B 1C 5Misc 10Journal 44Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Biology-driven assessment of deep learning super-resolution imaging of the porosity network in dentin. CoRR Lauren Anderson, Lucas Chatelain, Nicolas Tremblay, Kathryn Grandfield, David Rousseau, Aurélien Gourrier
2025	J	`jnl`	Random Multitype Spanning Forests for Synchronization on Sparse Graphs. SIAM J. Math. Data Sci. Hugo Jaquard, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
2024	J	`jnl`	Convergence of Message-Passing Graph Neural Networks with Generic Aggregation on Large Random Graphs. J. Mach. Learn. Res. Matthieu Cordonnier, Nicolas Keriven, Nicolas Tremblay, Samuel Vaiter
2024	—	`book`	Graph signals, structures and sketches. Nicolas Tremblay
2024	J	`jnl`	Random Multi-Type Spanning Forests for Synchronization on Sparse Graphs. CoRR Hugo Jaquard, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
2024	—	`conf`	Seeking Universal Approximation for Continuous Limits of Graph Neural Networks on Large Random Graphs. IEEECONF Matthieu Cordonnier, Nicolas Keriven, Nicolas Tremblay, Samuel Vaiter
2023	A	`conf`	A Faster Sampler for Discrete Determinantal Point Processes. AISTATS Simon Barthelmé, Nicolas Tremblay, Pierre-Olivier Amblard
2023	J	`jnl`	Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs. CoRR Matthieu Cordonnier, Nicolas Keriven, Nicolas Tremblay, Samuel Vaiter
2023	Misc	`conf`	Smoothing Complex-Valued Signals on Graphs with Monte-Carlo. ICASSP Hugo Jaquard, Michaël Fanuel, Pierre-Olivier Amblard, Rémi Bardenet, Simon Barthelmé, Nicolas Tremblay
2022	J	`jnl`	A Faster Sampler for Discrete Determinantal Point Processes. CoRR Simon Barthelmé, Nicolas Tremblay, Pierre-Olivier Amblard
2022	J	`jnl`	Gaussian Process Regression in the Flat Limit. CoRR Simon Barthelmé, Pierre-Olivier Amblard, Nicolas Tremblay, Konstantin Usevich
2022	—	`conf`	Variance Reduction in Stochastic Methods for Large-Scale Regularized Least-Squares Problems. EUSIPCO Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
2021	J	`jnl`	A Unified Framework for Spectral Clustering in Sparse Graphs. J. Mach. Learn. Res. Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
2021	Misc	`conf`	Fast Graph Kernel with Optical Random Features. ICASSP Hashem Ghanem, Nicolas Keriven, Nicolas Tremblay
2021	J	`jnl`	Graph Tikhonov Regularization and Interpolation Via Random Spanning Forests. IEEE Trans. Signal Inf. Process. over Networks Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
2021	J	`jnl`	Nishimori meets Bethe: a spectral method for node classification in sparse weighted graphs. CoRR Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
2021	J	`jnl`	Use of Oblique RGB Imagery and Apparent Surface Area of Plants for Early Estimation of Above-Ground Corn Biomass. Remote. Sens. Kosal Khun, Nicolas Tremblay, Bernard Panneton, Philippe Vigneault, Etienne Lord, François Cavayas, Claude Codjia
2020	J	`jnl`	A unified framework for spectral clustering in sparse graphs. CoRR Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
2020	A*	`conf`	Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian. NeurIPS Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
2020	J	`jnl`	Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian. CoRR Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
2020	J	`jnl`	Fast Graph Kernel with Optical Random Features. CoRR Hashem Ghanem, Nicolas Keriven, Nicolas Tremblay
2020	J	`jnl`	Graph Tikhonov Regularization and Interpolation via Random Spanning Forests. CoRR Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
2020	Misc	`conf`	Optimal Laplacian Regularization for Sparse Spectral Community Detection. ICASSP Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
2020	Misc	`conf`	Smoothing Graph Signals via Random Spanning Forests. ICASSP Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
2019	J	`jnl`	Approximating Spectral Clustering via Sampling: a Review. CoRR Nicolas Tremblay, Andreas Loukas
2019	J	`jnl`	Determinantal Point Processes for Coresets. J. Mach. Learn. Res. Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard
2019	J	`jnl`	Optimal Laplacian regularization for sparse spectral community detection. CoRR Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
2019	J	`jnl`	Optimized Deformed Laplacian for Spectrum-based Community Detection in Sparse Heterogeneous Graphs. CoRR Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
2019	A*	`conf`	Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs. NeurIPS Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
2019	J	`jnl`	Smoothing graph signals via random spanning forests. CoRR Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
2018	J	`jnl`	Approximate Fast Graph Fourier Transforms via Multilayer Sparse Approximations. IEEE Trans. Signal Inf. Process. over Networks Luc Le Magoarou, Rémi Gribonval, Nicolas Tremblay
2018	J	`jnl`	Determinantal Point Processes for Coresets. CoRR Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard
2018	J	`jnl`	Ground Reflectance Retrieval on Horizontal and Inclined Terrains Using the Software Package REFLECT. Remote. Sens. Yacine Bouroubi, Wided Batita, François Cavayas, Nicolas Tremblay
2018	J	`jnl`	Optimized Algorithms to Sample Determinantal Point Processes. CoRR Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard
2018	—	`conf`	Subsampling with K Determinantal Point Processes for Estimating Statistics in Large Data Sets. SSP Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
2017	J	`jnl`	Analyzing the Approximation Error of the Fast Graph Fourier Transform. CoRR Luc Le Magoarou, Nicolas Tremblay, Rémi Gribonval
2017	Misc	`conf`	Analyzing the approximation error of the fast graph Fourier transform. ACSSC Luc Le Magoarou, Nicolas Tremblay, Rémi Gribonval
2017	Misc	`conf`	Compressive K-means. ICASSP Nicolas Keriven, Nicolas Tremblay, Yann Traonmilin, Rémi Gribonval
2017	J	`jnl`	Design of graph filters and filterbanks. CoRR Nicolas Tremblay, Paulo Gonçalves, Pierre Borgnat
2017	J	`jnl`	Echantillonnage de signaux sur graphes via des processus déterminantaux. CoRR Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard
2017	—	`conf`	Graph sampling with determinantal processes. EUSIPCO Nicolas Tremblay, Pierre-Olivier Amblard, Simon Barthelmé
2017	J	`jnl`	Graph sampling with determinantal processes. CoRR Nicolas Tremblay, Pierre-Olivier Amblard, Simon Barthelmé
2017	J	`jnl`	Multi-scale structural community organisation of the human genome. BMC Bioinform. Rasha E. Boulos, Nicolas Tremblay, Alain Arneodo, Pierre Borgnat, Benjamin Audit
2017	—	`conf`	Systems engineering and management processes for small organizations with ISO/IEC 29110: An implementation in a small public transportation company. SysCon Claude Y. Laporte, Nicolas Tremblay, Jamil Menaceur, Denis Poliquin, Ronald Houde
2016	Misc	`conf`	Accelerated spectral clustering using graph filtering of random signals. ICASSP Nicolas Tremblay, Gilles Puy, Pierre Borgnat, Rémi Gribonval, Pierre Vandergheynst
2016	J	`jnl`	Approximate Fast Fourier Transforms on graphs via multi-layer sparse approximations. CoRR Luc Le Magoarou, Rémi Gribonval, Nicolas Tremblay
2016	J	`jnl`	Compressive K-means. CoRR Nicolas Keriven, Nicolas Tremblay, Yann Traonmilin, Rémi Gribonval
2016	A*	`conf`	Compressive Spectral Clustering. ICML Nicolas Tremblay, Gilles Puy, Rémi Gribonval, Pierre Vandergheynst
2016	J	`jnl`	Compressive Spectral Clustering. CoRR Nicolas Tremblay, Gilles Puy, Rémi Gribonval, Pierre Vandergheynst
2016	B	`conf`	Implementing the New ISO/IEC 29110 Systems Engineering Process Standard in a Small Public Transportation Company. EuroSPI Claude Y. Laporte, Nicolas Tremblay, Jamil Menaceur, Denis Poliquin
2016	J	`jnl`	Subgraph-Based Filterbanks for Graph Signals. IEEE Trans. Signal Process. Nicolas Tremblay, Pierre Borgnat
2015	J	`jnl`	Accelerated Spectral Clustering Using Graph Filtering Of Random Signals. CoRR Nicolas Tremblay, Gilles Puy, Pierre Borgnat, Rémi Gribonval, Pierre Vandergheynst
2015	Misc	`conf`	Community mining with graph filters for correlation matrices. ACSSC Pierre Borgnat, Paulo Gonçalves, Nicolas Tremblay, Nathanael Willaime-Angonin
2015	Misc	`conf`	Joint filtering of graph and graph-signals. ACSSC Nicolas Tremblay, Pierre Borgnat
2015	J	`jnl`	Multiscale Anisotropic Texture Analysis and Classification of Photographic Prints: Art scholarship meets image processing algorithms. IEEE Signal Process. Mag. Patrice Abry, Stéphane G. Roux, Herwig Wendt, Paul Messier, Andrew G. Klein, Nicolas Tremblay, Pierre Borgnat, Stéphane Jaffard, Béatrice Vedel, Jim Coddington, Lee Ann Daffner
2015	—	`conf`	Multiscale anisotropic texture unsupervised clustering for photographic paper. WIFS Stéphane G. Roux, Nicolas Tremblay, Pierre Borgnat, Patrice Abry, Herwig Wendt, Paul Messier
2015	J	`jnl`	Random sampling of bandlimited signals on graphs. CoRR Gilles Puy, Nicolas Tremblay, Rémi Gribonval, Pierre Vandergheynst
2015	J	`jnl`	Subgraph-based filterbanks for graph signals. CoRR Nicolas Tremblay, Pierre Borgnat
2014	—	`conf`	Graph Empirical Mode Decomposition. EUSIPCO Nicolas Tremblay, Pierre Borgnat, Patrick Flandrin
2014	J	`jnl`	Graph Wavelets for Multiscale Community Mining. IEEE Trans. Signal Process. Nicolas Tremblay, Pierre Borgnat
2014	C	`conf`	Linear spectral unmixing for crop and soil information extraction from a single worldview-2 image. IGARSS Yacine Bouroubi, Nicolas Tremblay, Philippe Vigneault, Mathieu Benoit
2013	J	`jnl`	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. Pengfei Chen, Jihua Wang, Wenjiang Huang, Nicolas Tremblay, Yangzhu Ou, Qian Zhang
2013	Misc	`conf`	Mining anomalous electricity consumption using Ensemble Empirical Mode Decomposition. ICASSP Romain Fontugne, Nicolas Tremblay, Pierre Borgnat, Patrick Flandrin, Hiroshi Esaki
2013	—	`conf`	Multiscale community mining in networks using spectral graph wavelets. EUSIPCO Nicolas Tremblay, Pierre Borgnat
2013	—	`conf`	Multiscale community mining in networks using the graph wavelet transform of random vectors. GlobalSIP Nicolas Tremblay, Pierre Borgnat
2013	—	`conf`	Strip, bind, and search: a method for identifying abnormal energy consumption in buildings. IPSN Romain Fontugne, Jorge Ortiz, Nicolas Tremblay, Pierre Borgnat, Patrick Flandrin, Kensuke Fukuda, David E. Culler, Hiroshi Esaki
2012	J	`jnl`	Bootstrapping under constraint for the assessment of group behavior in human contact networks CoRR Nicolas Tremblay, Alain Barrat, Cary Forest, Mark Nornberg, Jean-François Pinton, Pierre Borgnat
2012	J	`jnl`	Multiscale Community Mining in Networks Using Spectral Graph Wavelets CoRR Nicolas Tremblay, Pierre Borgnat
2011	—	`conf`	Fuzzy Logic Approach for Spatially Variable Nitrogen Fertilization of Corn Based on Soil, Crop and Precipitation Information. ICCSA (1) Yacine Bouroubi, Nicolas Tremblay, Philippe Vigneault, Carl Bélec, Bernard Panneton, Serge Guillaume
2008	J	`jnl`	Application of a simulation-based dynamic traffic assignment model. Eur. J. Oper. Res. Michael Florian, Michael Mahut, Nicolas Tremblay
2008	—	`conf`	Estimation of Plant Chlorophyll using Hyperspectral Observations and Radiative Transfer Models: Spectral Indices Sensitivity and Crop-Type Effects. IGARSS (3) Driss Haboudane, Nicolas Tremblay, John R. Miller, Philippe Vigneault
2008	—	`conf`	Hyperspectral Data Segmentation and Classification in Precision Agriculture: A Multi-Scale Analysis. IGARSS (2) Yannick Lanthier, Abdou Bannari, Driss Haboudane, John R. Miller, Nicolas Tremblay
2008	J	`jnl`	Remote Estimation of Crop Chlorophyll Content Using Spectral Indices Derived From Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. Driss Haboudane, Nicolas Tremblay, John R. Miller, Philippe Vigneault
2007	C	`conf`	Indices-based approach for crop chlorophyll content retrieval from hyperspectral data. IGARSS Driss Haboudane, Nicolas Tremblay, Philippe Vigneault, John R. Miller
2003	C	`conf`	Corn OSAVI as related to soil electrical conductivity and nitrogen fertilization rates. IGARSS Nicolas Tremblay, Philippe Vigneault, Driss Haboudane, John R. Miller
2003	C	`conf`	Detection of chlorophyll fluorescence in vegetation from airborne hyperspectral CASI imagery in the red edge spectral region. IGARSS Pablo J. Zarco-Tejada, John R. Miller, Driss Haboudane, Nicolas Tremblay, S. Apostol
2002	C	`conf`	Impact of vector quantization compression on hyperspectral data in the retrieval accuracies of crop chlorophyll content for precision agriculture. IGARSS Baoxin Hu, Shen-En Qian, Driss Haboudane, John R. Miller, Allan Hollinger, Nicolas Tremblay
2001	J	`jnl`	Temporal shortest paths: Parallel computing implementations. Parallel Comput. Nicolas Tremblay, Michael Florian