Tremblay, Nicolas
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1

Smoothing Complex-Valued Signals on Graphs with Monte-Carlo:

, In: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
 
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4

Variance Reduction in Stochastic Methods for Large-Scale Re..:

, In: 2022 30th European Signal Processing Conference (EUSIPCO),
 
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6

Fast Graph Kernel with Optical Random Features:

, In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
 
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8

Nishimori meets Bethe: a spectral method for node classific..:

Dall'Amico, Lorenzo ; Couillet, Romain ; Tremblay, Nicolas
Journal of Statistical Mechanics: Theory and Experiment.  2021 (2021)  9 - p. 093405 , 2021
 
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12

Optimal Laplacian Regularization for Sparse Spectral Commun..:

, In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
 
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13

Smoothing Graph Signals via Random Spanning Forests:

, In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
 
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15

Approximating Spectral Clustering via Sampling: A Review:

, In: Sampling Techniques for Supervised or Unsupervised Tasks; Unsupervised and Semi-Supervised Learning,
Tremblay, Nicolas ; Loukas, Andreas - p. 129-183 , 2019
 
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