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Publication search results
found 87 matches
- 2024
- Nicolas Tremblay:
Graph signals, structures and sketches. Grenoble Alpes University, France, 2024 - 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
- Simon Barthelmé, Nicolas Tremblay, Pierre-Olivier Amblard:
A Faster Sampler for Discrete Determinantal Point Processes. AISTATS 2023: 5582-5592 - 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 - 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
- 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 - Simon Barthelmé, Pierre-Olivier Amblard, Nicolas Tremblay, Konstantin Usevich:
Gaussian Process Regression in the Flat Limit. CoRR abs/2201.01074 (2022) - Simon Barthelmé, Nicolas Tremblay, Pierre-Olivier Amblard:
A Faster Sampler for Discrete Determinantal Point Processes. CoRR abs/2210.17358 (2022) - 2021
- 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) - 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) - 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) - Yohanna Ishoj-Paris, Ariane Gravel-Villeneuve, Francis Vermette-David, Lissa Dixon-Sequeira, Maxime Dicaire, Maxime Morin-Grandmont, Naomi Jomphe, Nathaelle Fournier, Ophelie Champeau-Fournier, Cassandra Paré, Lee-Anne Savoie, Emma Tremblay, Benny Le, Dany El-Riachi, Nicolás Medina, Alexandra Negru, Nathan Viens, Anton Zhelyeznyy, Yannick Francillette, François-Xavier Dupas, Pierre Tousignant, Guillaume Côté:
AXO: A Video Game That Encourages Recycling to Preteens. CHI PLAY 2021: 350-355 - Hashem Ghanem, Nicolas Keriven, Nicolas Tremblay:
Fast Graph Kernel with Optical Random Features. ICASSP 2021: 3575-3579 - 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) - Nicolas Delfosse, Michael E. Beverland, Maxime A. Tremblay:
Bounds on stabilizer measurement circuits and obstructions to local implementations of quantum LDPC codes. CoRR abs/2109.14599 (2021) - Maxime A. Tremblay, Nicolas Delfosse, Michael E. Beverland:
Constant-overhead quantum error correction with thin planar connectivity. CoRR abs/2109.14609 (2021) - 2020
- Lorenzo Dall'Amico
, Romain Couillet, Nicolas Tremblay:
Optimal Laplacian Regularization for Sparse Spectral Community Detection. ICASSP 2020: 3237-3241 - Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay:
Smoothing Graph Signals via Random Spanning Forests. ICASSP 2020: 5630-5634 - Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay:
Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian. NeurIPS 2020 - Lorenzo Dall'Amico
, Romain Couillet, Nicolas Tremblay:
A unified framework for spectral clustering in sparse graphs. CoRR abs/2003.09198 (2020) - Lorenzo Dall'Amico
, Romain Couillet, Nicolas Tremblay:
Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian. CoRR abs/2006.04510 (2020) - Hashem Ghanem, Nicolas Keriven
, Nicolas Tremblay:
Fast Graph Kernel with Optical Random Features. CoRR abs/2010.08270 (2020) - Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay:
Graph Tikhonov Regularization and Interpolation via Random Spanning Forests. CoRR abs/2011.10450 (2020) - 2019
- Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard:
Determinantal Point Processes for Coresets. J. Mach. Learn. Res. 20: 168:1-168:70 (2019) - Nicolas Beaudoin-Gagnon, Alexis Fortin-Côté, Cindy Chamberland, Ludovic Lefebvre, Jérémy Bergeron-Boucher, Alexandre Campeau-Lecours
, Sébastien Tremblay
, Philip L. Jackson
:
The FUNii Database: A Physiological, Behavioral, Demographic and Subjective Video Game Database for Affective Gaming and Player Experience Research. ACII 2019: 1-7 - Alexis Fortin-Côté, Nicolas Beaudoin-Gagnon, Cindy Chamberland, Frédéric Desbiens, Ludovic Lefebvre, Jérémy Bergeron, Alexandre Campeau-Lecours
, Sébastien Tremblay
, Philip L. Jackson
:
FUNii: The Physio-Behavioural Adaptive Video Game. HCI (15) 2019: 14-28 - Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay:
Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs. NeurIPS 2019: 4039-4049 - Alexis Fortin-Côté, Nicolas Beaudin-Gagnon, Alexandre Campeau-Lecours
, Sébastien Tremblay
, Philip L. Jackson
:
Affective Computing Out-of-The-Lab: The Cost of Low Cost. SMC 2019: 4137-4142 - Lorenzo Dall'Amico
, Romain Couillet, Nicolas Tremblay:
Optimized Deformed Laplacian for Spectrum-based Community Detection in Sparse Heterogeneous Graphs. CoRR abs/1901.09715 (2019) - Nicolas Tremblay, Andreas Loukas:
Approximating Spectral Clustering via Sampling: a Review. CoRR abs/1901.10204 (2019)
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