| 2024 | ACSSC | Seeking Universal Approximation for Continuous Limits of Graph Neural Networks on Large Random Graphs. | Matthieu Cordonnier, Nicolas Keriven, Nicolas Tremblay, Samuel Vaiter |
| 2023 | AISTATS | A Faster Sampler for Discrete Determinantal Point Processes. | Simon Barthelm, Nicolas Tremblay, Pierre-Olivier Amblard |
| 2023 | ICASSP | Smoothing Complex-Valued Signals on Graphs with Monte-Carlo. | Hugo Jaquard, Michal Fanuel, Pierre-Olivier Amblard, Rmi Bardenet, Simon Barthelm, Nicolas Tremblay |
| 2021 | ICASSP | Fast Graph Kernel with Optical Random Features. | Hashem Ghanem, Nicolas Keriven, Nicolas Tremblay |
| 2020 | ICASSP | Optimal Laplacian Regularization for Sparse Spectral Community Detection. | Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay |
| 2020 | ICASSP | Smoothing Graph Signals via Random Spanning Forests. | Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelm, Nicolas Tremblay |
| 2017 | ACSSC | Analyzing the approximation error of the fast graph Fourier transform. | Luc Le Magoarou, Nicolas Tremblay, Rmi Gribonval |
| 2017 | ICASSP | Compressive K-means. | Nicolas Keriven, Nicolas Tremblay, Yann Traonmilin, Rmi Gribonval |
| 2016 | EuroSPI | Implementing the New ISO/IEC 29110 Systems Engineering Process Standard in a Small Public Transportation Company. | Claude Y. Laporte, Nicolas Tremblay, Jamil Menaceur, Denis Poliquin |
| 2016 | ICASSP | Accelerated spectral clustering using graph filtering of random signals. | Nicolas Tremblay, Gilles Puy, Pierre Borgnat, Rmi Gribonval, Pierre Vandergheynst |
| 2016 | ICML | Compressive Spectral Clustering. | Nicolas Tremblay, Gilles Puy, Rmi Gribonval, Pierre Vandergheynst |
| 2015 | ACSSC | Community mining with graph filters for correlation matrices. | Pierre Borgnat, Paulo Gonalves, Nicolas Tremblay, Nathanael Willaime-Angonin |
| 2015 | ACSSC | Joint filtering of graph and graph-signals. | Nicolas Tremblay, Pierre Borgnat |
| 2014 | IGARSS | Linear spectral unmixing for crop and soil information extraction from a single worldview-2 image. | Yacine Bouroubi, Nicolas Tremblay, Philippe Vigneault, Mathieu Benoit |
| 2013 | ICASSP | Mining anomalous electricity consumption using Ensemble Empirical Mode Decomposition. | Romain Fontugne, Nicolas Tremblay, Pierre Borgnat, Patrick Flandrin, Hiroshi Esaki |
| 2011 | ICCSA | Fuzzy Logic Approach for Spatially Variable Nitrogen Fertilization of Corn Based on Soil, Crop and Precipitation Information. | Yacine Bouroubi, Nicolas Tremblay, Philippe Vigneault, Carl Blec, Bernard Panneton, Serge Guillaume |
| 2008 | IGARSS | Estimation of Plant Chlorophyll using Hyperspectral Observations and Radiative Transfer Models: Spectral Indices Sensitivity and Crop-Type Effects. | Driss Haboudane, Nicolas Tremblay, John R. Miller, Philippe Vigneault |
| 2008 | IGARSS | Hyperspectral Data Segmentation and Classification in Precision Agriculture: A Multi-Scale Analysis. | Yannick Lanthier, Abdou Bannari, Driss Haboudane, John R. Miller, Nicolas Tremblay |
| 2007 | IGARSS | Indices-based approach for crop chlorophyll content retrieval from hyperspectral data. | Driss Haboudane, Nicolas Tremblay, Philippe Vigneault, John R. Miller |
| 2003 | IGARSS | Corn OSAVI as related to soil electrical conductivity and nitrogen fertilization rates. | Nicolas Tremblay, Philippe Vigneault, Driss Haboudane, John R. Miller |
| 2003 | IGARSS | Detection of chlorophyll fluorescence in vegetation from airborne hyperspectral CASI imagery in the red edge spectral region. | Pablo J. Zarco-Tejada, John R. Miller, Driss Haboudane, Nicolas Tremblay, S. Apostol |
| 2002 | IGARSS | Impact of vector quantization compression on hyperspectral data in the retrieval accuracies of crop chlorophyll content for precision agriculture. | Baoxin Hu, Shen-En Qian, Driss Haboudane, John R. Miller, Allan Hollinger, Nicolas Tremblay |