Mehran Mesbahi

Artificial Intelligence · 2004–2020

A researcher in the Science corpus: 8 papers; trusts 45 researchers and is trusted by 79 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Control and Systems Engineering — 36 citations into it; #5,259 of 8,257 by trust here, #3,516 by citations
• Computer Networks and Communications — 35 citations into it; #270 of 9,886 by trust here, #647 by citations
• Reinforcement Learning — 24 citations into it
• Computational Theory and Mathematics — 15 citations into it; #11,432 of 12,182 by trust here, #6,165 by citations
• Statistical and Nonlinear Physics — 15 citations into it; #1,490 of 10,127 by trust here, #1,677 by citations
• Management Science and Operations Research — 13 citations into it; #11,795 of 11,946 by trust here, #9,383 by citations
• Optimization & Training — 13 citations into it

Whom Mehran Mesbahi trusts overall

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

1. Reza Olfati-Saber
2. Yurii E. Nesterov
3. Carsten W. Scherer
4. Ali Jadbabaie
5. J. Alexander Fax
6. Richard M. Murray
7. Luc Moreau
8. Abraham Berman
9. Lin Xiao
10. Sham M. Kakade

Who trusts Mehran Mesbahi overall

1. Reza Olfati-Saber
2. Soummya Kar
3. Michael M. Zavlanos
4. Wei Ren
5. Francesco Bullo
6. Shiyu Zhao
7. Girish V. Chowdhary
8. Yongcan Cao
9. Milos S. Stankovic
10. Long Wang

Papers from Mehran Mesbahi's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Trust Region Policy Optimization (International Conference on Machine Learning)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. End-to-End Training of Deep Visuomotor Policies

Their papers

• Controllability of Multi-Agent Systems from a Graph-Theoretic Perspective (2009) — 802 citations
• Agreement over random networks (2004) — 671 citations
• Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator (2018) — 718 citations
• On maximizing the second smallest eigenvalue of a state-dependent graph Laplacian (2006) — 653 citations
• Online distributed optimization via dual averaging (2013) — 150 citations
• From Noisy Data to Feedback Controllers: Nonconservative Design via a Matrix S-Lemma (2020) — 412 citations
• Linear Model Regression on Time-series Data: Non-asymptotic Error Bounds and Applications (2018) — 18 citations
• Graph Theoretic Methods in Multiagent Networks (2010) — 2,877 citations