Maximilien Dreveton

20 papers A* 3C 1Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Hierarchical Linkage Clustering Beyond Binary Trees and Ultrametrics.
CoRR
Maximilien Dreveton, Matthias Grossglauser, Daichi Kuroda, Patrick Thiran
2025 J jnl
Optimal Graph Clustering without Edge Density Signals.
CoRR
Maximilien Dreveton, Elaine Siyu Liu, Matthias Grossglauser, Patrick Thiran
2025 J jnl
Recovering Small Communities in the Planted Partition Model.
CoRR
Martijn Gösgens, Maximilien Dreveton
2025 — conf
Reducing Sensor Requirements by Relaxing the Network Metric Dimension.
SIGMETRICS (Abstracts)
Paula Mürmann, Robin Jaccard, Maximilien Dreveton, Aryan Alavi Razavi Ravari, Patrick Thiran
2025 J jnl
Reducing Sensor Requirements by Relaxing the Network Metric Dimension.
CoRR
Paula Mürmann, Robin Jaccard, Maximilien Dreveton, Aryan Alavi Razavi Ravari, Patrick Thiran
2025 J jnl
Reducing Sensor Requirements by Relaxing the Network Metric Dimension.
Proc. ACM Meas. Anal. Comput. Syst.
Paula Mürmann, Robin Jaccard, Maximilien Dreveton, Aryan Alavi Razavi Ravari, Patrick Thiran
2024 J jnl
Recovering Static and Time-Varying Communities Using Persistent Edges.
IEEE Trans. Netw. Sci. Eng.
Konstantin Avrachenkov, Maximilien Dreveton, Lasse Leskelä
2024 A* conf
Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models.
COLT
Maximilien Dreveton, Alperen Gözeten, Matthias Grossglauser, Patrick Thiran
2024 J jnl
Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models.
CoRR
Maximilien Dreveton, Alperen Gözeten, Matthias Grossglauser, Patrick Thiran
2024 A* conf
Why the Metric Backbone Preserves Community Structure.
NeurIPS
Maximilien Dreveton, Charbel Chucri, Matthias Grossglauser, Patrick Thiran
2024 J jnl
Why the Metric Backbone Preserves Community Structure.
CoRR
Maximilien Dreveton, Charbel Chucri, Matthias Grossglauser, Patrick Thiran
2023 J jnl
Exact Recovery and Bregman Hard Clustering of Node-Attributed Stochastic Block Model.
CoRR
Maximilien Dreveton, Felipe S. Fernandes, Daniel R. Figueiredo
2023 A* conf
Exact recovery and Bregman hard clustering of node-attributed Stochastic Block Model.
NeurIPS
Maximilien Dreveton, Felipe S. Fernandes, Daniel R. Figueiredo
2023 J jnl
When Does Bottom-up Beat Top-down in Hierarchical Community Detection?
CoRR
Maximilien Dreveton, Daichi Kuroda, Matthias Grossglauser, Patrick Thiran
2022 — —
Graph clustering and semi-supervised learning of non-binary, temporal and geometric networks. (Détection de communautés et apprentissage semi-supervisé dans des réseaux non-binaires, temporels et géométriques).
Maximilien Dreveton
2021 — conf
Recovering Communities in Temporal Networks Using Persistent Edges.
CSoNet
Konstantin Avrachenkov, Maximilien Dreveton, Lasse Leskelä
2020 J jnl
Almost exact recovery in noisy semi-supervised learning.
CoRR
Konstantin Avrachenkov, Maximilien Dreveton
2020 J jnl
Estimation of Static Community Memberships from Temporal Network Data.
CoRR
Konstantin Avrachenkov, Maximilien Dreveton, Lasse Leskelä
2020 J jnl
Higher-Order Spectral Clustering for Geometric Graphs.
CoRR
Konstantin Avrachenkov, Andrei Bobu, Maximilien Dreveton
2019 C conf
Almost Exact Recovery in Label Spreading.
WAW
Konstantin Avrachenkov, Maximilien Dreveton