Laurent Massoulié
Computer Networks and Communications · 2000–2018
A researcher in the Science corpus: 13 papers; trusts 53 researchers and is trusted by 50 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 56 citations into it; #1,062 of 9,886 by trust here, #767 by citations
- Artificial Intelligence — 31 citations into it; #19,954 of 35,345 by trust here, #12,761 by citations
- Optimization & Training — 27 citations into it; #1,700 of 2,601 by trust here, #1,237 by citations
- Computational Mechanics — 19 citations into it; #5,445 of 10,001 by trust here, #2,447 by citations
- Computational Theory and Mathematics — 18 citations into it
- Algorithms & Complexity — 16 citations into it; #332 of 516 by trust here, #175 by citations
- Electrical and Electronic Engineering — 14 citations into it; #1,551 of 16,539 by trust here, #9,011 by citations
- Statistical and Nonlinear Physics — 14 citations into it; #966 of 10,127 by trust here, #3,382 by citations
Whom Laurent Massoulié trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Uriel Feige
- Paul Holland
- Frank P. Kelly
- Eran Ofek
- Joel Friedman
- Kathryn B. Laskey
- Romualdo Pastor-Satorras
- Yurii E. Nesterov
- Elchanan Mossel
- Jon M. Kleinberg
Who trusts Laurent Massoulié overall
- Charles Bordenave
- Emmanuel Abbe
- Lenka Zdeborov'a
- Tatsuro Kawamoto
- Benoît Collins
- Thomas Bonald
- Sanjay Shakkottai
- Mor Harchol-Balter
- Florent Krzakala
- Jing Lei
Papers from Laurent Massoulié's perspective
Ordered by how strongly the researchers Laurent Massoulié trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Information Theory: 1948-1998 - Guest Editorial
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Partial Solutions Manual Parallel and Distributed Computation : Numerical Methods
- ImageNet: A large-scale hierarchical image database
- Et al
Their papers
- Optimal Algorithms for Non-Smooth Distributed Optimization in Networks (2018) — 177 citations
- Impact of fairness on Internet performance (2001) — 478 citations
- Bandwidth sharing and admission control for elastic traffic (2000) — 408 citations
- Community detection thresholds and the weak Ramanujan property (2013) — 452 citations
- Hawkes branching point processes without ancestors (2001) — 71 citations
- Nonbacktracking spectrum of random graphs: Community detection and nonregular Ramanujan graphs (2018) — 59 citations
- Optimal Algorithms for Smooth and Strongly Convex Distributed Optimization in Networks (2017) — 372 citations
- From Small-World Networks to Comparison-Based Search (2011) — 12 citations
- Optimal and scalable distribution of content updates over a mobile social network (2009) — 306 citations
- Greening the internet with nano data centers (2009) — 406 citations
- Path Selection and Multipath Congestion Control (2007) — 158 citations
- The effect of network topology on the spread of epidemics (2005) — 830 citations
- Peer-to-Peer Membership Management for Gossip-Based Protocols (2003) — 557 citations