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ORCIDNicolas Tremblay
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2020 – today
- 2024
[b1]Nicolas Tremblay:
Graph signals, structures and sketches. Grenoble Alpes University, France, 2024- [i27]Hugo Jaquard, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay:
Random Multi-Type Spanning Forests for Synchronization on Sparse Graphs. CoRR abs/2403.19300 (2024) - 2023
- [c32]Simon Barthelmé, Nicolas Tremblay, Pierre-Olivier Amblard:
A Faster Sampler for Discrete Determinantal Point Processes. AISTATS 2023: 5582-5592 - [c31]Hugo Jaquard
, Michaël Fanuel, Pierre-Olivier Amblard, Rémi Bardenet, Simon Barthelmé, Nicolas Tremblay:
Smoothing Complex-Valued Signals on Graphs with Monte-Carlo. ICASSP 2023: 1-5 - [i26]Matthieu Cordonnier, Nicolas Keriven, Nicolas Tremblay, Samuel Vaiter:
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs. CoRR abs/2304.11140 (2023) - 2022
- [c30]Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay:
Variance Reduction in Stochastic Methods for Large-Scale Regularized Least-Squares Problems. EUSIPCO 2022: 1771-1775 - [i25]Simon Barthelmé, Pierre-Olivier Amblard, Nicolas Tremblay, Konstantin Usevich:
Gaussian Process Regression in the Flat Limit. CoRR abs/2201.01074 (2022) - [i24]Simon Barthelmé, Nicolas Tremblay, Pierre-Olivier Amblard:
A Faster Sampler for Discrete Determinantal Point Processes. CoRR abs/2210.17358 (2022) - 2021
- [j14]Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay:
A Unified Framework for Spectral Clustering in Sparse Graphs. J. Mach. Learn. Res. 22: 217:1-217:56 (2021) - [j13]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): 4032 (2021) - [j12]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: 359-374 (2021) - [c29]Hashem Ghanem, Nicolas Keriven, Nicolas Tremblay:
Fast Graph Kernel with Optical Random Features. ICASSP 2021: 3575-3579 - [i23]Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay:
Nishimori meets Bethe: a spectral method for node classification in sparse weighted graphs. CoRR abs/2103.03561 (2021) - 2020
- [c28]Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay:
Optimal Laplacian Regularization for Sparse Spectral Community Detection. ICASSP 2020: 3237-3241 - [c27]Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay:
Smoothing Graph Signals via Random Spanning Forests. ICASSP 2020: 5630-5634 - [c26]Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay:
Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian. NeurIPS 2020 - [i22]Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay:
A unified framework for spectral clustering in sparse graphs. CoRR abs/2003.09198 (2020) - [i21]Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay:
Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian. CoRR abs/2006.04510 (2020) - [i20]Hashem Ghanem, Nicolas Keriven, Nicolas Tremblay:
Fast Graph Kernel with Optical Random Features. CoRR abs/2010.08270 (2020) - [i19]Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay:
Graph Tikhonov Regularization and Interpolation via Random Spanning Forests. CoRR abs/2011.10450 (2020)
2010 – 2019
- 2019
- [j11]Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard:
Determinantal Point Processes for Coresets. J. Mach. Learn. Res. 20: 168:1-168:70 (2019) - [c25]Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay:
Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs. NeurIPS 2019: 4039-4049 - [i18]Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay:
Optimized Deformed Laplacian for Spectrum-based Community Detection in Sparse Heterogeneous Graphs. CoRR abs/1901.09715 (2019) - [i17]Nicolas Tremblay, Andreas Loukas:
Approximating Spectral Clustering via Sampling: a Review. CoRR abs/1901.10204 (2019) - [i16]Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay:
Smoothing graph signals via random spanning forests. CoRR abs/1910.07963 (2019) - [i15]Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay:
Optimal Laplacian regularization for sparse spectral community detection. CoRR abs/1912.01419 (2019) - 2018
- [j10]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): 1638 (2018) - [j9]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): 407-420 (2018) - [c24]Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay:
Subsampling with K Determinantal Point Processes for Estimating Statistics in Large Data Sets. SSP 2018: 313-317 - [i14]Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard:
Optimized Algorithms to Sample Determinantal Point Processes. CoRR abs/1802.08471 (2018) - [i13]Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard:
Determinantal Point Processes for Coresets. CoRR abs/1803.08700 (2018) - 2017
- [j8]Rasha E. Boulos, Nicolas Tremblay, Alain Arneodo, Pierre Borgnat, Benjamin Audit:
Multi-scale structural community organisation of the human genome. BMC Bioinform. 18(1): 209:1-209:13 (2017) - [c23]Luc Le Magoarou, Nicolas Tremblay, Rémi Gribonval:
Analyzing the approximation error of the fast graph Fourier transform. ACSSC 2017: 45-49 - [c22]Nicolas Tremblay, Pierre-Olivier Amblard, Simon Barthelmé:
Graph sampling with determinantal processes. EUSIPCO 2017: 1674-1678 - [c21]Nicolas Keriven, Nicolas Tremblay, Yann Traonmilin, Rémi Gribonval:
Compressive K-means. ICASSP 2017: 6369-6373 - [c20]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: 1-8 - [i12]Nicolas Tremblay, Pierre-Olivier Amblard, Simon Barthelmé:
Graph sampling with determinantal processes. CoRR abs/1703.01594 (2017) - [i11]Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard:
Echantillonnage de signaux sur graphes via des processus déterminantaux. CoRR abs/1704.02239 (2017) - [i10]Luc Le Magoarou, Nicolas Tremblay, Rémi Gribonval:
Analyzing the Approximation Error of the Fast Graph Fourier Transform. CoRR abs/1711.00386 (2017) - [i9]Nicolas Tremblay, Paulo Gonçalves, Pierre Borgnat:
Design of graph filters and filterbanks. CoRR abs/1711.02046 (2017) - 2016
- [j7]Nicolas Tremblay, Pierre Borgnat:
Subgraph-Based Filterbanks for Graph Signals. IEEE Trans. Signal Process. 64(15): 3827-3840 (2016) - [c19]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: 15-29 - [c18]Nicolas Tremblay, Gilles Puy, Pierre Borgnat, Rémi Gribonval, Pierre Vandergheynst:
Accelerated spectral clustering using graph filtering of random signals. ICASSP 2016: 4094-4098 - [c17]Nicolas Tremblay, Gilles Puy, Rémi Gribonval, Pierre Vandergheynst:
Compressive Spectral Clustering. ICML 2016: 1002-1011 - [i8]Nicolas Tremblay, Gilles Puy, Rémi Gribonval, Pierre Vandergheynst:
Compressive Spectral Clustering. CoRR abs/1602.02018 (2016) - [i7]Nicolas Keriven, Nicolas Tremblay, Yann Traonmilin, Rémi Gribonval:
Compressive K-means. CoRR abs/1610.08738 (2016) - [i6]Luc Le Magoarou, Rémi Gribonval, Nicolas Tremblay:
Approximate Fast Fourier Transforms on graphs via multi-layer sparse approximations. CoRR abs/1612.04542 (2016) - 2015
- [j6]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:
Multiscale Anisotropic Texture Analysis and Classification of Photographic Prints: Art scholarship meets image processing algorithms. IEEE Signal Process. Mag. 32(4): 18-27 (2015) - [c16]Pierre Borgnat, Paulo Gonçalves, Nicolas Tremblay, Nathanael Willaime-Angonin:
Community mining with graph filters for correlation matrices. ACSSC 2015: 856-860 - [c15]Nicolas Tremblay, Pierre Borgnat:
Joint filtering of graph and graph-signals. ACSSC 2015: 1824-1828 - [c14]Stéphane G. Roux, Nicolas Tremblay, Pierre Borgnat, Patrice Abry, Herwig Wendt, Paul Messier:
Multiscale anisotropic texture unsupervised clustering for photographic paper. WIFS 2015: 1-6 - [i5]Nicolas Tremblay, Pierre Borgnat:
Subgraph-based filterbanks for graph signals. CoRR abs/1509.05642 (2015) - [i4]Nicolas Tremblay, Gilles Puy, Pierre Borgnat, Rémi Gribonval, Pierre Vandergheynst:
Accelerated Spectral Clustering Using Graph Filtering Of Random Signals. CoRR abs/1509.08863 (2015) - [i3]Gilles Puy, Nicolas Tremblay, Rémi Gribonval, Pierre Vandergheynst:
Random sampling of bandlimited signals on graphs. CoRR abs/1511.05118 (2015) - 2014
- [j5]Nicolas Tremblay, Pierre Borgnat:
Graph Wavelets for Multiscale Community Mining. IEEE Trans. Signal Process. 62(20): 5227-5239 (2014) - [c13]Nicolas Tremblay, Pierre Borgnat, Patrick Flandrin:
Graph Empirical Mode Decomposition. EUSIPCO 2014: 2350-2354 - [c12]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: 5103-5106 - 2013
- [j4]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): 682-689 (2013) - [c11]Nicolas Tremblay, Pierre Borgnat:
Multiscale community mining in networks using spectral graph wavelets. EUSIPCO 2013: 1-5 - [c10]Nicolas Tremblay, Pierre Borgnat:
Multiscale community mining in networks using the graph wavelet transform of random vectors. GlobalSIP 2013: 463-466 - [c9]Romain Fontugne, Nicolas Tremblay, Pierre Borgnat, Patrick Flandrin, Hiroshi Esaki:
Mining anomalous electricity consumption using Ensemble Empirical Mode Decomposition. ICASSP 2013: 5238-5242 - [c8]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: 129-140 - 2012
- [i2]Nicolas Tremblay, Pierre Borgnat:
Multiscale Community Mining in Networks Using Spectral Graph Wavelets. CoRR abs/1212.0689 (2012) - [i1]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 abs/1212.3524 (2012) - 2011
- [c7]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: 356-368
2000 – 2009
- 2008
- [j3]Michael Florian, Michael Mahut, Nicolas Tremblay:
Application of a simulation-based dynamic traffic assignment model. Eur. J. Oper. Res. 189(3): 1381-1392 (2008) - [j2]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): 423-437 (2008) - [c6]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: 569-572 - [c5]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: 585-588 - 2007
- [c4]Driss Haboudane, Nicolas Tremblay, Philippe Vigneault, John R. Miller:
Indices-based approach for crop chlorophyll content retrieval from hyperspectral data. IGARSS 2007: 3297-3300 - 2003
- [c3]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: 598-600 - [c2]Nicolas Tremblay, Philippe Vigneault, Driss Haboudane, John R. Miller:
Corn OSAVI as related to soil electrical conductivity and nitrogen fertilization rates. IGARSS 2003: 2230-2232 - 2002
- [c1]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: 1655-1657 - 2001
- [j1]Nicolas Tremblay, Michael Florian:
Temporal shortest paths: Parallel computing implementations. Parallel Comput. 27(12): 1569-1609 (2001)
Coauthor Index
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