Siavash Alemzadeh

2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Siavash Alemzadeh trusts overall

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

  1. Steven L. Brunton
  2. Jonathan H. Tu
  3. Sarah Dean

Papers from Siavash Alemzadeh's perspective

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

  1. On dynamic mode decomposition: Theory and applications
  2. Off-policy Learning with Options and Recognizers
  3. Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification
  4. On the Sample Complexity of the Linear Quadratic Regulator
  5. Graph Theoretic Methods in Multiagent Networks
  6. Gradient Descent Learns Linear Dynamical Systems
  7. Koopman Invariant Subspaces and Finite Linear Representations of Nonlinear Dynamical Systems for Control (PLoS ONE)
  8. Reverse engineering gene networks using singular value decomposition and robust regression (Proceedings of the National Academy of Sciences of the United States of America)
  9. Distributed Control of Robotic Networks: A Mathematical Approach to Motion Coordination Algorithms
  10. Regression Shrinkage and Selection via the Lasso

Their papers