A Scalable Optical Interconnection Network for Fine-Grain Parallel Architectures. - D. Scott Wills; Matthias Grossglauser (ICPP (1), 1993)

On CBR Service. - Matthias Grossglauser; Srinivasan Keshav (INFOCOM, 1996)

SEAM: Scalable and Efficient ATM Multicast. - Matthias Grossglauser; K. K. Ramakrishnan (INFOCOM, 1997)

Measurement-Based Call Admission Control: Analysis and Simulation. - David N. C. Tse; Matthias Grossglauser (INFOCOM, 1997)

Optimal Deterministic Timeouts for Reliable Scalable Multicast. - Matthias Grossglauser (IEEE J. Sel. Areas Commun., 1997)

RCBR: a simple and efficient service for multiple time-scale traffic. - Matthias Grossglauser; Srinivasan Keshav; David N. C. Tse (IEEE/ACM Trans. Netw., 1997)

On the relevance of long-range dependence in network traffic. - Matthias Grossglauser; Jean-Chrysostome Bolot (IEEE/ACM Trans. Netw., 1999)

A framework for robust measurement-based admission control. - Matthias Grossglauser; David N. C. Tse (IEEE/ACM Trans. Netw., 1999)

On Service Models for Multicast Transmission in Heterogeneous Environments. - Matthias Grossglauser; Jean-Chrysostome Bolot (INFOCOM, 2000)

Looking for Science in the Art of Network Measurement. - Matthias Grossglauser; Balachander Krishnamurthy (IWDC, 2001)

Trajectory sampling for direct traffic observation. - Nick G. Duffield; Matthias Grossglauser (IEEE/ACM Trans. Netw., 2001)

Trajectory engine: a backend for trajectory sampling. - Nick G. Duffield; Alexandre Gerber; Matthias Grossglauser (NOMS, 2002)

Mobility increases the capacity of ad hoc wireless networks. - Matthias Grossglauser; David N. C. Tse (IEEE/ACM Trans. Netw., 2002)

Space-Time Routing in Ad Hoc Networks. - Henri Dubois-Ferrière; Matthias Grossglauser; Martin Vetterli (ADHOC-NOW, 2003)

Locating Nodes with EASE: Mobility Diffusion of Last Encounters in Ad Hoc Networks. - Matthias Grossglauser; Martin Vetterli (INFOCOM, 2003)

Age matters: efficient route discovery in mobile ad hoc networks using encounter ages. - Henri Dubois-Ferrière; Matthias Grossglauser; Martin Vetterli (MobiHoc, 2003)

A time-scale decomposition approach to measurement-based admission control. - Matthias Grossglauser; David N. C. Tse (IEEE/ACM Trans. Netw., 2003)

Last Encounter Routing under Random Waypoint Mobility. - Natasa Sarafijanovic-Djukic; Matthias Grossglauser (NETWORKING, 2004)

Passive Traffic Measurement for Internet Protocol Operations. - Matthias Grossglauser; Jennifer Rexford (The Internet as a Large-Scale Complex System, 2005)

Even One-Dimensional Mobility Increases the Capacity of Wireless Networks. - Suhas N. Diggavi; Matthias Grossglauser; David N. C. Tse (IEEE Trans. Inf. Theory, 2005)

MobiRoute: Routing Towards a Mobile Sink for Improving Lifetime in Sensor Networks. - Jun Luo 001; Jacques Panchard; Michal Piórkowski; Matthias Grossglauser; Jean-Pierre Hubaux (DCOSS, 2006)

Constrained Tracking on a Road Network. - Michal Piórkowski; Matthias Grossglauser (EWSN, 2006)

Island Hopping: Efficient Mobility-Assisted Forwarding in Partitioned Networks. - Natasa Sarafijanovic-Djukic; Michal Piórkowski; Matthias Grossglauser (SECON, 2006)

10 papers on network models. - Matthias Grossglauser (Comput. Commun. Rev., 2006)

On information transmission over a finite buffer channel. - Suhas N. Diggavi; Matthias Grossglauser (IEEE Trans. Inf. Theory, 2006)

Locating mobile nodes with EASE: learning efficient routes from encounter histories alone. - Matthias Grossglauser; Martin Vetterli (IEEE/ACM Trans. Netw., 2006)

Robust Geo-Routing on Embeddings of Dynamic Wireless Networks. - Dominique Tschopp; Suhas N. Diggavi; Matthias Grossglauser; Jörg Widmer (INFOCOM, 2007)

Balanced Relay Allocation on Heterogeneous Unstructured Overlays. - Hung Xuan Nguyen; Daniel R. Figueiredo 001; Matthias Grossglauser; Patrick Thiran (INFOCOM, 2008)

On clustering phenomenon in mobile partitioned networks. - Michal Piórkowski; Natasa Sarafijanovic-Djukic; Matthias Grossglauser (MobilityModels, 2008)

Densification arising from sampling fixed graphs. - Pedram Pedarsani; Daniel R. Figueiredo 001; Matthias Grossglauser (SIGMETRICS, 2008)

TraNS: realistic joint traffic and network simulator for VANETs. - Michal Piórkowski; Maxim Raya; A. Lezama Lugo; Panagiotis Papadimitratos; Matthias Grossglauser; Jean-Pierre Hubaux (ACM SIGMOBILE Mob. Comput. Commun. Rev., 2008)

Trajectory sampling with unreliable reporting. - Nick G. Duffield; Matthias Grossglauser (IEEE/ACM Trans. Netw., 2008)

A Framework for Packet Selection and Reporting. - Nick G. Duffield; Derek Chiou; Benoit Claise; Albert G. Greenberg; Matthias Grossglauser; Jennifer Rexford (RFC, 2009)

On the privacy of anonymized networks. - Pedram Pedarsani; Matthias Grossglauser (KDD, 2011)

Valuable detours: least-cost anypath routing. - Henri Dubois-Ferrière; Matthias Grossglauser; Martin Vetterli (IEEE/ACM Trans. Netw., 2011)

Random graph models for wireless and social networks: keynote talk abstract. - Matthias Grossglauser (MobiOpp, 2012)

A Bayesian method for matching two similar graphs without seeds. - Pedram Pedarsani; Daniel R. Figueiredo 001; Matthias Grossglauser (Allerton, 2013)

Launch hard or go home!: predicting the success of kickstarter campaigns. - Vincent Etter; Matthias Grossglauser; Patrick Thiran (COSN, 2013)

On the performance of percolation graph matching. - Lyudmila Yartseva; Matthias Grossglauser (COSN, 2013)

Nowhere to Hide: Navigating around Privacy in Online Social Networks. - Mathias Humbert; Théophile Studer; Matthias Grossglauser; Jean-Pierre Hubaux (ESORICS, 2013)

Mitigating Epidemics through Mobile Micro-measures. - Mohamed Kafsi; Ehsan Kazemi 001; Lucas Maystre; Lyudmila Yartseva; Matthias Grossglauser; Patrick Thiran (CoRR, 2013)

Where to go from here? Mobility prediction from instantaneous information. - Vincent Etter; Mohamed Kafsi; Ehsan Kazemi 001; Matthias Grossglauser; Patrick Thiran (Pervasive Mob. Comput., 2013)

The Entropy of Conditional Markov Trajectories. - Mohamed Kafsi; Matthias Grossglauser; Patrick Thiran (IEEE Trans. Inf. Theory, 2013)

Mining democracy. - Vincent Etter; Julien Herzen; Matthias Grossglauser; Patrick Thiran (COSN, 2014)

When can two unlabeled networks be aligned under partial overlap? - Ehsan Kazemi 001; Lyudmila Yartseva; Matthias Grossglauser (Allerton, 2015)

Traveling Salesman in Reverse: Conditional Markov Entropy for Trajectory Segmentation. - Mohamed Kafsi; Matthias Grossglauser; Patrick Thiran (ICDM, 2015)

Fast and Accurate Inference of Plackett-Luce Models. - Lucas Maystre; Matthias Grossglauser (NIPS, 2015)

Robust Active Ranking from Sparse Noisy Comparisons. - Lucas Maystre; Matthias Grossglauser (CoRR, 2015)

Growing a Graph Matching from a Handful of Seeds. - Ehsan Kazemi 001; Seyed Hamed Hassani; Matthias Grossglauser (Proc. VLDB Endow., 2015)

Hierarchical routing over dynamic wireless networks. - Dominique Tschopp; Suhas N. Diggavi; Matthias Grossglauser (Random Struct. Algorithms, 2015)

Collaborative Recurrent Neural Networks for Dynamic Recommender Systems. - Young-Jun Ko; Lucas Maystre; Matthias Grossglauser (ACML, 2016)

Assembling a network out of ambiguous patches. - Lyudmila Yartseva; Jefferson Elbert Simães; Matthias Grossglauser (Allerton, 2016)

Online Collaborative Prediction of Regional Vote Results. - Vincent Etter; Mohammad Emtiyaz Khan; Matthias Grossglauser; Patrick Thiran (DSAA, 2016)

The Player Kernel: Learning Team Strengths Based on Implicit Player Contributions. - Lucas Maystre; Victor Kristof; Antonio J. González Ferrer; Matthias Grossglauser (MLSA@PKDD/ECML, 2016)

Uncovering Latent Behaviors in Ant Colonies. - Mohamed Kafsi; Raphaël Braunschweig; Danielle Mersch; Matthias Grossglauser; Laurent Keller; Patrick Thiran (SDM, 2016)

PROPER: global protein interaction network alignment through percolation matching. - Ehsan Kazemi 001; Seyed Hamed Hassani; Matthias Grossglauser; Hassan Pezeshgi Modarres (BMC Bioinform., 2016)

On the Structure and Efficient Computation of IsoRank Node Similarities. - Ehsan Kazemi 001; Matthias Grossglauser (CoRR, 2016)

Just Sort It! A Simple and Effective Approach to Active Preference Learning. - Lucas Maystre; Matthias Grossglauser (ICML, 2017)

ChoiceRank: Identifying Preferences from Node Traffic in Networks. - Lucas Maystre; Matthias Grossglauser (ICML, 2017)

Can Who-Edits-What Predict Edit Survival? - Ali Batuhan Yardim; Victor Kristof; Lucas Maystre; Matthias Grossglauser (KDD, 2018)

On the Performance of a Canonical Labeling for Matching Correlated Erdős-Rényi Graphs. - Osman Emre Dai; Daniel Cullina; Negar Kiyavash; Matthias Grossglauser (CoRR, 2018)

Reproducing Meta-learning with differentiable closed-form solvers. - Arnout Devos; Sylvain Chatel; Matthias Grossglauser (RML@ICLR, 2019)

Learning Hawkes Processes Under Synchronization Noise. - William Trouleau; Jalal Etesami; Matthias Grossglauser; Negar Kiyavash; Patrick Thiran (ICML, 2019)

Pairwise Comparisons with Flexible Time-Dynamics. - Lucas Maystre; Victor Kristof; Matthias Grossglauser (KDD, 2019)

Learning Hawkes Processes from a handful of events. - Farnood Salehi; William Trouleau; Matthias Grossglauser; Patrick Thiran (NeurIPS, 2019)

Linear-Time Inference for Pairwise Comparisons with Gaussian-Process Dynamics. - Lucas Maystre; Victor Kristof; Matthias Grossglauser (CoRR, 2019)

Learning to Search Efficiently Using Comparisons. - Daniyar Chumbalov; Lucas Maystre; Matthias Grossglauser (CoRR, 2019)

Subspace Networks for Few-shot Classification. - Arnout Devos; Matthias Grossglauser (CoRR, 2019)

A User Study of Perceived Carbon Footprint. - Victor Kristof; Valentin Quelquejay-Leclère; Robin Zbinden; Lucas Maystre; Matthias Grossglauser; Patrick Thiran (CoRR, 2019)

Analysis of a Canonical Labeling Algorithm for the Alignment of Correlated Erdos-Rényi Graphs. - Osman Emre Dai; Daniel Cullina; Negar Kiyavash; Matthias Grossglauser (Proc. ACM Meas. Anal. Comput. Syst., 2019)

Scalable and Efficient Comparison-based Search without Features. - Daniyar Chumbalov; Lucas Maystre; Matthias Grossglauser (ICML, 2020)

Sub-Matrix Factorization for Real-Time Vote Prediction. - Alexander Immer; Victor Kristof; Matthias Grossglauser; Patrick Thiran (KDD, 2020)

War of Words: The Competitive Dynamics of Legislative Processes. - Victor Kristof; Matthias Grossglauser; Patrick Thiran (WWW, 2020)

Self-Supervised Prototypical Transfer Learning for Few-Shot Classification. - Carlos Medina; Arnout Devos; Matthias Grossglauser (CoRR, 2020)

MPGM: Scalable and Accurate Multiple Network Alignment. - Ehsan Kazemi 001; Matthias Grossglauser (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

A Variational Inference Approach to Learning Multivariate Wold Processes. - Jalal Etesami; William Trouleau; Negar Kiyavash; Matthias Grossglauser; Patrick Thiran (AISTATS, 2021)

Cumulants of Hawkes Processes are Robust to Observation Noise. - William Trouleau; Jalal Etesami; Matthias Grossglauser; Negar Kiyavash; Patrick Thiran (ICML, 2021)

War of Words II: Enriched Models of Law-Making Processes. - Victor Kristof; Aswin Suresh; Matthias Grossglauser; Patrick Thiran (WWW, 2021)

When Does Bottom-up Beat Top-down in Hierarchical Community Detection? - Maximilien Dreveton; Daichi Kuroda; Matthias Grossglauser; Patrick Thiran (CoRR, 2023)

Fast Interactive Search with a Scale-Free Comparison Oracle. - Daniyar Chumbalov; Lars Klein 001; Lucas Maystre; Matthias Grossglauser (CoRR, 2023)

It's All Relative: Interpretable Models for Scoring Bias in Documents. - Aswin Suresh; Chi-Hsuan Wu; Matthias Grossglauser (CoRR, 2023)

Studying Lobby Influence in the European Parliament. - Aswin Suresh; Lazar Radojevic; Francesco Salvi; Antoine Magron; Victor Kristof; Matthias Grossglauser (CoRR, 2023)

Efficiently Escaping Saddle Points for Non-Convex Policy Optimization. - Sadegh Khorasani; Saber Salehkaleybar; Negar Kiyavash; Niao He; Matthias Grossglauser (CoRR, 2023)

Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models. - Maximilien Dreveton; Alperen Gözeten; Matthias Grossglauser; Patrick Thiran (COLT, 2024)

It's All Relative: Learning Interpretable Models for Scoring Subjective Bias in Documents from Pairwise Comparisons. - Aswin Suresh; Chi-Hsuan Wu; Matthias Grossglauser (EACL (1), 2024)

Discovering Lobby-Parliamentarian Alignments through NLP. - Aswin Suresh; Lazar Radojevic; Francesco Salvi; Antoine Magron; Victor Kristof; Matthias Grossglauser (NAACL-HLT, 2024)

Causal Effect Identification in a Sub-Population with Latent Variables. - Amir Mohammad Abouei; Ehsan Mokhtarian; Negar Kiyavash; Matthias Grossglauser (NeurIPS, 2024)

Why the Metric Backbone Preserves Community Structure. - Maximilien Dreveton; Charbel Chucri; Matthias Grossglauser; Patrick Thiran (NeurIPS, 2024)

Fast Interactive Search under a Scale-Free Comparison Oracle. - Daniyar Chumbalov; Lars Klein 001; Lucas Maystre; Matthias Grossglauser (UAI, 2024)

Measuring IIA Violations in Similarity Choices with Bayesian Models. - Hugo Sales Correa; Suryanarayana Sankagiri; Daniel R. Figueiredo 001; Matthias Grossglauser (UAI, 2025)

Efficiently Escaping Saddle Points for Policy Optimization. - Mohammadsadegh Khorasani; Saber Salehkaleybar; Negar Kiyavash; Niao He; Matthias Grossglauser (UAI, 2025)

Recommendations from Sparse Comparison Data: Provably Fast Convergence for Nonconvex Matrix Factorization. - Suryanarayana Sankagiri; Jalal Etesami; Matthias Grossglauser (CoRR, 2025)

Hierarchical Reinforcement Learning with Targeted Causal Interventions. - Sadegh Khorasani; Saber Salehkaleybar; Negar Kiyavash; Matthias Grossglauser (CoRR, 2025)