Nicolas Tremblay
7 papers · 2016–2024 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (17) π§ Keyword Pioneer π Conference Polyglot (4) π Academic Marathon (8) π Cross-Pollinator (11)
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Renaissance Researcher
(5)
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Interdisciplinary Bridge
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Topic Evolution
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Trend Setter
Conferences
JMLR (3)
NIPS (2)
AISTATS (1)
ICML (1)
Top co-authors
Keywords
spectral clustering
(4)
graph theory
(3)
community detection
(3)
stochastic block model
(2)
matrix analysis
(2)
determinantal point process
(2)
eigenvector analysis
(1)
random sampling
(1)
laplacian matrix
(1)
linear regression
(1)
coreset construction
(1)
graph signal processing
(1)
spectral decomposition
(1)
random graph
(1)
convergence guarantee
(1)
spectral algorithm
(1)
spectral method
(1)
leverage score sampling
(1)
rejection sampling
(1)
sampling algorithm
(1)
Papers
Convergence of Message-Passing Graph Neural Networks with Generic Aggregation on Large Random Graphs
JMLR 2024
A Faster Sampler for Discrete Determinantal Point Processes
AISTATS 2023
A Unified Framework for Spectral Clustering in Sparse Graphs
JMLR 2021
Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian
NIPS 2020
Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs
NIPS 2019
Determinantal Point Processes for Coresets
JMLR 2019
Compressive Spectral Clustering
ICML 2016