Munther A. Dahleh
Artificial Intelligence · Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148) · 2000–2018
A researcher in the Science corpus: 9 papers; trusts 9 researchers and is trusted by 38 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it; #4,682 of 21,575 by trust here, #6,485 by citations
- Management Science and Operations Research — 7 citations into it
- Control and Systems Engineering — 6 citations into it; #884 of 8,257 by trust here, #779 by citations
- Robotics & Control — 6 citations into it
Whom Munther A. Dahleh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Emilio Frazzoli
- Robin D. Hanson
- Richard M. Murray
- Arpita Ghosh
- Eric M. Feron
- Frank P. Kelly
- Steven M. LaValle
- Martín Abadi
- S. Sastry
- Elad Hazan
Who trusts Munther A. Dahleh overall
- Steven M. LaValle
- Emilio Frazzoli
- Sertac Karaman
- Mohamed Elbanhawi
- Farid Kendoul
- Reza Olfati-Saber
- Thomas R. Bewley
- M. Simic
- Yoshiaki Kuwata
- Rudolph van der Merwe
Papers from Munther A. Dahleh's perspective
Ordered by how strongly the researchers Munther A. Dahleh trusts endorse each paper. Same corpus, a different order for every researcher.
- TensorFlow: A system for large-scale machine learning
- Stabilization of linear systems with limited information
- Causality : Models , Reasoning , and Inference
- Scikit-learn: Machine Learning in Python
- Real-time motion planning for agile autonomous vehicles (Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148))
- Probabilistic reasoning in intelligent systems - networks of plausible inference
- TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
- Trajectory tracking control design for autonomous helicopters using a backstepping algorithm (Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334))
- ImageNet classification with deep convolutional neural networks
- Causal diagrams for empirical research
Their papers
- Robust hybrid control for autonomous vehicle motion planning (2000) — 377 citations
- Maneuver-based motion planning for nonlinear systems with symmetries (2005) — 486 citations
- A Marketplace for Data: An Algorithmic Solution (2018) — 306 citations
- Volatility of Power Grids Under Real-Time Pricing (2011) — 376 citations
- Dynamic Pricing and Stabilization of Supply and Demand in Modern Electric Power Grids (2010) — 178 citations
- Structure learning in causal cyclic networks (2008) — 33 citations
- Distributed control of spatially invariant systems (2002) — 919 citations
- Real-time motion planning for agile autonomous vehicles (2000) — 1,024 citations
- Trajectory tracking control design for autonomous helicopters using a backstepping algorithm (2000) — 296 citations