Asymptotic Tail Distribution of End-to-End Delay in Networks of Queues with Self-Similar Cross Traffic. - Marc Lelarge; Zhen Liu 001; Cathy H. Xia (INFOCOM, 2004)

Asymptotics of Subexponential Max Plus Networks: the Stochastic Event Graph Case. - François Baccelli; Marc Lelarge; Serguei Foss (Queueing Syst. Theory Appl., 2004)

Automatic Composition of Secure Workflows. - Marc Lelarge; Zhen Liu 001; Anton Riabov (ATC, 2006)

Tails for (max, plus) recursions under subexponentiality. - A. B. Dieker; Marc Lelarge (Queueing Syst. Theory Appl., 2006)

Scalability of fork/join queueing networks with blocking. - Cathy H. Xia; Zhen Liu 001; Donald F. Towsley; Marc Lelarge (SIGMETRICS, 2007)

A New Perspective on Internet Security using Insurance. - Jean-Chrysostome Bolot; Marc Lelarge (INFOCOM, 2008)

Marketing in a Random Network. - Hamed Amini; Moez Draief; Marc Lelarge (NET-COOP, 2008)

A local mean field analysis of security investments in networks. - Marc Lelarge; Jean Bolot (NetEcon, 2008)

Network externalities and the deployment of security features and protocols in the internet. - Marc Lelarge; Jean Bolot (SIGMETRICS, 2008)

Cyber Insurance as an Incentive for IT Security. - Jean Bolot; Marc Lelarge (WEIS, 2008)

Diffusion of Innovations on Random Networks: Understanding the Chasm. - Marc Lelarge (WINE, 2008)

Optimal Marketing Policy in a Random Network - Hamed Amini; Marc Lelarge (CoRR, 2008)

Tail Asymptotics for Discrete Event Systems. - Marc Lelarge (Discret. Event Dyn. Syst., 2008)

Packet reordering in networks with heavy-tailed delays. - Marc Lelarge (Math. Methods Oper. Res., 2008)

Cyber Insurance as an Incentivefor Internet Security. - Jean Bolot; Marc Lelarge (Managing Information Risk and the Economics of Security, 2009)

Economics of malware: Epidemic risks model, network externalities and incentives. - Marc Lelarge (Allerton, 2009)

Economic Incentives to Increase Security in the Internet: The Case for Insurance. - Marc Lelarge; Jean Bolot (INFOCOM, 2009)

Efficient control of epidemics over random networks. - Marc Lelarge (SIGMETRICS/Performance, 2009)

Asymptotic behavior of generalized processor sharing queues under subexponential assumptions. - Marc Lelarge (Queueing Syst. Theory Appl., 2009)

Dynamic Programming Optimization over Random Data: The Scaling Exponent for Near-Optimal Solutions. - David J. Aldous; Charles Bordenave; Marc Lelarge (SIAM J. Comput., 2009)

The Rank of Diluted Random Graphs. - Charles Bordenave; Marc Lelarge (SODA, 2010)

Resolvent of large random graphs. - Charles Bordenave; Marc Lelarge (Random Struct. Algorithms, 2010)

Flooding and Diameter in Weighted Random Graphs. - Hamed Amini; Moez Draief; Marc Lelarge (ANALCO, 2011)

Impact of clustering on diffusions and contagions in random networks. - Emilie Coupechoux; Marc Lelarge (NetGCoop, 2011)

Coordination in network security games. - Marc Lelarge (INFOCOM, 2012)

Universality in polytope phase transitions and iterative algorithms. - Mohsen Bayati; Marc Lelarge; Andrea Montanari (ISIT, 2012)

Bipartite graph structures for efficient balancing of heterogeneous loads. - Mathieu Leconte; Marc Lelarge; Laurent Massoulié (SIGMETRICS, 2012)

A new approach to the orientation of random hypergraphs. - Marc Lelarge (SODA, 2012)

Leveraging Side Observations in Stochastic Bandits. - Stéphane Caron; Branislav Kveton; Marc Lelarge; Smriti Bhagat (UAI, 2012)

How Clustering Affects Epidemics in Random Networks - Emilie Coupechoux; Marc Lelarge (CoRR, 2012)

Universality in Polytope Phase Transitions and Message Passing Algorithms - Mohsen Bayati; Marc Lelarge; Andrea Montanari (CoRR, 2012)

Constant-Time Algorithms for Monomer-Dimer Systems on Bounded Degree Graphs - Marc Lelarge; Hang Zhou 001 (CoRR, 2012)

Community Detection in the Labelled Stochastic Block Model - Simon Heimlicher; Marc Lelarge; Laurent Massoulié (CoRR, 2012)

Diffusion and cascading behavior in random networks. - Marc Lelarge (Games Econ. Behav., 2012)

Upper Deviations for Split Times of Branching Processes. - Hamed Amini; Marc Lelarge (J. Appl. Probab., 2012)

Coordination in Network Security Games: A Monotone Comparative Statics Approach. - Marc Lelarge (IEEE J. Sel. Areas Commun., 2012)

Bypassing correlation decay for matchings with an application to XORSAT. - Marc Lelarge (ITW, 2013)

Reconstruction in the labeled stochastic block model. - Marc Lelarge; Laurent Massoulié; Jiaming Xu 002 (ITW, 2013)

Spectrum bandit optimization. - Marc Lelarge; Alexandre Proutière; M. Sadegh Talebi (ITW, 2013)

Convergence of multivariate belief propagation, with applications to cuckoo hashing and load balancing. - Mathieu Leconte; Marc Lelarge; Laurent Massoulié (SODA, 2013)

Flooding in Weighted Sparse Random Graphs. - Hamed Amini; Moez Draief; Marc Lelarge (SIAM J. Discret. Math., 2013)

Edge Label Inference in Generalized Stochastic Block Models: from Spectral Theory to Impossibility Results. - Jiaming Xu 002; Laurent Massoulié; Marc Lelarge (COLT, 2014)

Balanced graph edge partition. - Florian Bourse; Marc Lelarge; Milan Vojnovic (KDD, 2014)

Streaming, Memory Limited Algorithms for Community Detection. - Se-Young Yun; Marc Lelarge; Alexandre Proutière (NIPS, 2014)

Adaptive Replication in Distributed Content Delivery Networks. - Mathieu Leconte; Marc Lelarge; Laurent Massoulié (CoRR, 2014)

Loopy annealing belief propagation for vertex cover and matching: convergence, LP relaxation, correctness and Bethe approximation. - Marc Lelarge (CoRR, 2014)

Editorial introduction. - A. B. Dieker; Marc Lelarge (Queueing Syst. Theory Appl., 2014)

Sublinear-time algorithms for monomer-dimer systems on bounded degree graphs. - Marc Lelarge; Hang Zhou 001 (Theor. Comput. Sci., 2014)

Non-backtracking Spectrum of Random Graphs: Community Detection and Non-regular Ramanujan Graphs. - Charles Bordenave; Marc Lelarge; Laurent Massoulié (FOCS, 2015)

Spectral detection in the censored block model. - Alaa Saade; Marc Lelarge; Florent Krzakala; Lenka Zdeborová (ISIT, 2015)

Combinatorial Bandits Revisited. - Richard Combes; Mohammad Sadegh Talebi; Alexandre Proutière; Marc Lelarge (NIPS, 2015)

Fast and Memory Optimal Low-Rank Matrix Approximation. - Se-Young Yun; Marc Lelarge; Alexandre Proutière (NIPS, 2015)

Clustering and Inference From Pairwise Comparisons. - Rui Wu 009; Jiaming Xu 002; Rayadurgam Srikant; Laurent Massoulié; Marc Lelarge; Bruce E. Hajek (SIGMETRICS, 2015)

Designing Adaptive Replication Schemes in Distributed Content Delivery Networks. - Mathieu Leconte; Marc Lelarge; Laurent Massoulié (ITC, 2015)

Stochastic and Adversarial Combinatorial Bandits. - Richard Combes; Marc Lelarge; Alexandre Proutière; M. Sadegh Talebi (CoRR, 2015)

A spectral method for community detection in moderately-sparse degree-corrected stochastic block models. - Lennart Gulikers; Marc Lelarge; Laurent Massoulié (CoRR, 2015)

An Impossibility Result for Reconstruction in a Degree-Corrected Planted-Partition Model. - Lennart Gulikers; Marc Lelarge; Laurent Massoulié (CoRR, 2015)

Counting matchings in irregular bipartite graphs. - Marc Lelarge (CoRR, 2015)

Special Issue: ACM SIGMETRICS 2014. - Marc Lelarge; Florian Simatos (Queueing Syst. Theory Appl., 2015)

Reconstruction in the Labelled Stochastic Block Model. - Marc Lelarge; Laurent Massoulié; Jiaming Xu 002 (IEEE Trans. Netw. Sci. Eng., 2015)

Clustering from sparse pairwise measurements. - Alaa Saade; Marc Lelarge; Florent Krzakala; Lenka Zdeborová (ISIT, 2016)

Impact of Community Structure on Cascades. - Mehrdad Moharrami; Vijay G. Subramanian; Mingyan Liu; Marc Lelarge (EC, 2016)

Improving PageRank for Local Community Detection. - Alexandre Hollocou; Marc Lelarge; Thomas Bonald (CoRR, 2016)

Fast Randomized Semi-Supervised Clustering. - Alaa Saade; Florent Krzakala; Marc Lelarge; Lenka Zdeborová (CoRR, 2016)

Fundamental limits of symmetric low-rank matrix estimation. - Marc Lelarge; Léo Miolane (COLT, 2017)

Non-Backtracking Spectrum of Degree-Corrected Stochastic Block Models. - Lennart Gulikers; Marc Lelarge; Laurent Massoulié (ITCS, 2017)

Statistical and computational phase transitions in spiked tensor estimation. - Thibault Lesieur; Léo Miolane; Marc Lelarge; Florent Krzakala; Lenka Zdeborová (ISIT, 2017)

Counting matchings in irregular bipartite graphs and random lifts. - Marc Lelarge (SODA, 2017)

A linear streaming algorithm for community detection in very large networks. - Alexandre Hollocou; Julien Maudet; Thomas Bonald; Marc Lelarge (CoRR, 2017)

A Streaming Algorithm for Graph Clustering. - Alexandre Hollocou; Julien Maudet; Thomas Bonald; Marc Lelarge (CoRR, 2017)

Multiple Local Community Detection. - Alexandre Hollocou; Thomas Bonald; Marc Lelarge (SIGMETRICS Perform. Evaluation Rev., 2017)

Weighted Spectral Embedding of Graphs. - Thomas Bonald; Alexandre Hollocou; Marc Lelarge (Allerton, 2018)

Optimal Content Replication and Request Matching in Large Caching Systems. - Arpan Mukhopadhyay; Nidhi Hegde 001; Marc Lelarge (INFOCOM, 2018)

Deep Representation for Patient Visits from Electronic Health Records. - Jean-Baptiste Escudié; Alaa Saade; Alice Coucke; Marc Lelarge (CoRR, 2018)

InfoCatVAE: Representation Learning with Categorical Variational Autoencoders. - Edouard Pineau; Marc Lelarge (CoRR, 2018)

On rigidity, orientability, and cores of random graphs with sliders. - J. Barré; Marc Lelarge; Dieter Mitsche (Random Struct. Algorithms, 2018)

A spectral algorithm with additive clustering for the recovery of overlapping communities in networks. - Emilie Kaufmann; Thomas Bonald; Marc Lelarge (Theor. Comput. Sci., 2018)

Recovering Asymmetric Communities in the Stochastic Block Model. - Francesco Caltagirone; Marc Lelarge; Léo Miolane (IEEE Trans. Netw. Sci. Eng., 2018)

Modularity-based Sparse Soft Graph Clustering. - Alexandre Hollocou; Thomas Bonald; Marc Lelarge (AISTATS, 2019)

Asymptotic Bayes Risk for Gaussian Mixture in a Semi-Supervised Setting. - Marc Lelarge; Léo Miolane (CAMSAP, 2019)

Conditioned Query Generation for Task-Oriented Dialogue Systems. - Stéphane d'Ascoli; Alice Coucke; Francesco Caltagirone; Alexandre Caulier; Marc Lelarge (CoRR, 2019)

Spectral alignment of correlated Gaussian random matrices. - Luca Ganassali; Marc Lelarge; Laurent Massoulié (CoRR, 2019)

Phenotypic similarity for rare disease: Ciliopathy diagnoses and subtyping. - Xiaoyi Chen; Nicolas Garcelon; Antoine Neuraz; Katy Billot; Marc Lelarge; Thomas Bonald; Hugo Garcia; Yoann Martin; Vincent Benoit; Marc Vincent; Hassan Faour; Maxime Douillet; et al. (J. Biomed. Informatics, 2019)

Asymptotics of Replication and Matching in Large Caching Systems. - Arpan Mukhopadhyay; Nidhi Hegde 001; Marc Lelarge (IEEE/ACM Trans. Netw., 2019)

Conditioned Text Generation with Transfer for Closed-Domain Dialogue Systems. - Stéphane d'Ascoli; Alice Coucke; Francesco Caltagirone; Alexandre Caulier; Marc Lelarge (SLSP, 2020)

Characterizing the Expressive Power of Invariant and Equivariant Graph Neural Networks. - Waïss Azizian; Marc Lelarge (CoRR, 2020)

Impossibility of Partial Recovery in the Graph Alignment Problem. - Luca Ganassali; Laurent Massoulié; Marc Lelarge (COLT, 2021)

Expressive Power of Invariant and Equivariant Graph Neural Networks. - Waïss Azizian; Marc Lelarge (ICLR, 2021)

Correlation detection in trees for partial graph alignment. - Luca Ganassali; Laurent Massoulié; Marc Lelarge (CoRR, 2021)

Online greedy identification of linear dynamical systems. - Matthieu Blanke; Marc Lelarge (CDC, 2022)

Correlation Detection in Trees for Planted Graph Alignment. - Luca Ganassali; Laurent Massoulié; Marc Lelarge (ITCS, 2022)

Periodic signal recovery with regularized sine neural networks. - David A. R. Robin; Kevin Scaman; Marc Lelarge (NeurReps, 2022)

Convergence beyond the over-parameterized regime using Rayleigh quotients. - David A. R. Robin; Kevin Scaman; Marc Lelarge (NeurIPS, 2022)

SiMCa: Sinkhorn Matrix Factorization with Capacity Constraints. - Eric Daoud; Luca Ganassali; Antoine Baker; Marc Lelarge (CoRR, 2022)

FLEX: an Adaptive Exploration Algorithm for Nonlinear Systems. - Matthieu Blanke; Marc Lelarge (ICML, 2023)

Automatic Rao-Blackwellization for Sequential Monte Carlo with Belief Propagation. - Waïss Azizian; Guillaume Baudart; Marc Lelarge (CoRR, 2023)

Interpretable Meta-Learning of Physical Systems. - Matthieu Blanke; Marc Lelarge (ICLR, 2024)

Random Sparse Lifts: Construction, Analysis and Convergence of finite sparse networks. - David A. R. Robin; Kevin Scaman; Marc Lelarge (ICLR, 2024)

Neural Incremental Data Assimilation. - Matthieu Blanke; Ronan Fablet; Marc Lelarge (CoRR, 2024)

MiniF2F in Rocq: Automatic Translation Between Proof Assistants - A Case Study. - Jules Viennot; Guillaume Baudart; Emilio Jesús Gallego Arias; Marc Lelarge (CoRR, 2025)

Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings. - Adrien Lagesse; Marc Lelarge (CoRR, 2025)