Smoothing graph signals via random spanning forests

Yusuf Pilavci, Pierre-Olivier Amblard, Simon Barthelme, Nicolas Tremblay. Smoothing graph signals via random spanning forests. ICASSP 2020, May 2020, barcelone, Spain. ⟨ hal-02319175v2 ⟩

Approximating Spectral Clustering via Sampling: a Review

Nicolas Tremblay, Andreas Loukas. Approximating Spectral Clustering via Sampling: a Review. Sampling Techniques for Supervised or Unsupervised Tasks, 2020. ⟨ hal-02468312 ⟩

Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs

Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay. Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs. Thirty-third Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. ⟨ hal-02429525 ⟩

Determinantal Point Processes for Coresets

Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard. Determinantal Point Processes for Coresets. Journal of Machine Learning Research, Microtome Publishing, 2019. ⟨ hal-01741533v2 ⟩

Fourier could be a Data Scientist: from Graph Fourier Transform to Signal Processing on Graphs

Benjamin Ricaud, Pierre Borgnat, Nicolas Tremblay, Paulo Gonçalves, Pierre Vandergheynst. Fourier could be a Data Scientist: from Graph Fourier Transform to Signal Processing on Graphs. Comptes Rendus Physique, Elsevier Masson, 2019, pp.474-488. ⟨ 10.1016/j.crhy.2019.08.003 ⟩. ⟨ hal-02304584 ⟩

Estimating the inverse trace using random forests on graphs

Simon Barthelme, Nicolas Tremblay, Alexandre Gaudilliere, Luca Avena, Pierre-Olivier Amblard. Estimating the inverse trace using random forests on graphs. XXVIIème colloque GRETSI (GRETSI 2019), Aug 2019, Lille, France. ⟨ hal-02319194 ⟩

Classification de types de neurones à partir de signaux calciquesClassification of neuron types from calcium imaging

Guillaume Becq, Nagham Badreddine, Nicolas Tremblay, Florence Appaix, Gisela Zalcman, et al.. Classification de types de neurones à partir de signaux calciques. Gretsi 2019, Aug 2019, Lille, France. ⟨ hal-02528364 ⟩

Classification spectrale par la laplacienne déformée dans des graphes réalistes

Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay. Classification spectrale par la laplacienne déformée dans des graphes réalistes. XXVIIème colloque GRETSI (GRETSI 2019), Aug 2019, lille, France. ⟨ hal-02153901 ⟩

Asymptotic Equivalence of Fixed-size and Varying-size Determinantal Point Processes

Simon Barthelme, Pierre-Olivier Amblard, Nicolas Tremblay. Asymptotic Equivalence of Fixed-size and Varying-size Determinantal Point Processes. Bernoulli, Bernoulli Society for Mathematical Statistics and Probability, In press, 25 (4B), pp.3555-3589. ⟨ 10.3150/18-BEJ1102 ⟩. ⟨ hal-02086028 ⟩

Design of graph filters and filterbanks

Nicolas Tremblay, Paulo Gonçalves, Pierre Borgnat. Design of graph filters and filterbanks. Petar M. Djurić; Cédric Richard. Cooperative and Graph Signal Processing, Academic Press, pp.299-324, 2018, 978-0-12-813677-5. ⟨ 10.1016/B978-0-12-813677-5.00011-0 ⟩. ⟨ hal-01675375 ⟩