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Andrea Simonetto (ENSTA Paris)

For more information see my webpage 

Below my articles since September 2021. For older dates please see scholar.

Preprints, Working Papers, ...3 documents

  • Filippo Fabiani, Andrea Simonetto, Paul J. Goulart. Personalized incentives as feedback design in generalized Nash equilibrium problems. 2022. ⟨hal-03664775⟩
  • Liam Madden, Albert Akhriev, Andrea Simonetto. Sketching the Best Approximate Quantum Compiling Problem. 2022. ⟨hal-03664784⟩
  • Nicola Mariella, Andrea Simonetto. A Quantum Algorithm for the Sub-Graph Isomorphism Problem. 2021. ⟨hal-03436336⟩

Journal articles3 documents

  • Ivano Notarnicola, Andrea Simonetto, Francesco Farina, Giuseppe Notarstefano. Distributed Personalized Gradient Tracking with Convex Parametric Models. IEEE Transactions on Automatic Control, Institute of Electrical and Electronics Engineers, In press, pp.1-1. ⟨10.1109/TAC.2022.3147007⟩. ⟨hal-03552878⟩
  • Liam Madden, Andrea Simonetto. Best Approximate Quantum Compiling Problems. ACM Transactions on Quantum Computing, ACM, 2022, 3 (4), ⟨10.1145/3505181⟩. ⟨hal-03476912⟩
  • Andrea Simonetto, Emiliano Dall'Anese, Julien Monteil, Andrey Bernstein. Personalized optimization with user’s feedback. Automatica, Elsevier, 2021, 131, pp.109767. ⟨10.1016/j.automatica.2021.109767⟩. ⟨hal-03388648⟩

Conference papers2 documents

  • Nicola Bastianello, Andrea Simonetto, Emiliano Dall'Anese. OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression. Learning for Dynamics & Control Conference, Jun 2022, Stanford, United States. ⟨hal-03664795⟩
  • Filippo Fabiani, Andrea Simonetto, Paul J. Goulart. Learning equilibria with personalized incentives in a class of nonmonotone games. European Control Conference, Jul 2022, London, United Kingdom. ⟨hal-03429468⟩