Julien M. Hendrickx

Computer Networks and Communications · 2005–2020

A researcher in the Science corpus: 9 papers; trusts 30 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 33 citations into it; #1,130 of 9,886 by trust here, #872 by citations
• Artificial Intelligence — 18 citations into it; #23,559 of 35,345 by trust here, #25,040 by citations
• Statistics and Probability — 13 citations into it
• Statistical and Nonlinear Physics — 12 citations into it
• Economics and Econometrics — 10 citations into it
• Management Science and Operations Research — 9 citations into it; #7,426 of 11,946 by trust here, #6,563 by citations
• Mechanical Engineering — 9 citations into it; #598 of 8,300 by trust here, #1,708 by citations
• Sociology and Political Science — 8 citations into it

Whom Julien M. Hendrickx trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Latanya Sweeney
2. Bruce E. Hajek
3. Sewoong Oh
4. Sahand N. Negahban
5. John N. Tsitsiklis
6. Daniel A. Spielman
7. Xiaoye Jiang
8. Dimitri P. Bertsekas
9. Jan Lorenz
10. Ravindra K. Ahuja

Who trusts Julien M. Hendrickx overall

1. Qin Li
2. Alexander Olshevsky
3. Heejong Bong
4. Zhong-Ping Jiang
5. Minghui Zhu
6. Angelia Nedić
7. Francesco Bullo
8. Vincent D. Blondel
9. Ali H. Sayed
10. Laura Krick

Papers from Julien M. Hendrickx's perspective

Ordered by how strongly the researchers Julien M. Hendrickx trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. ImageNet: A large-scale hierarchical image database
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. RANK ANALYSIS OF INCOMPLETE BLOCK DESIGNS THE METHOD OF PAIRED COMPARISONS
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Parallel and distributed computation
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. Consensus problems in networks of agents with switching topology and time-delays
10. Regression Shrinkage and Selection via the Lasso

Their papers

• Estimating the success of re-identifications in incomplete datasets using generative models (2019) — 706 citations
• On Krause's Multi-Agent Consensus Model With State-Dependent Connectivity (2008) — 464 citations
• Graph Resistance and Learning from Pairwise Comparisons (2019) — 12 citations
• Directed graphs for the analysis of rigidity and persistence in autonomous agent systems (2007) — 89 citations
• Minimax Rate for Learning From Pairwise Comparisons in the BTL Model (2020) — 17 citations
• Closing ranks in rigid multi‐agent formations using edge contraction (2010) — 16 citations
• Rigid graph control architectures for autonomous formations (2008) — 632 citations
• Convergence of different linear and non-linear Vicsek models (2006) — 77 citations
• Convergence in Multiagent Coordination, Consensus, and Flocking (2005) — 987 citations