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Publications of F. Seccamonte
Thesis
-
F. Seccamonte.
Bilevel Optimization in Learning and Control with Applications to Network Flow Estimation.
PhD thesis,
Mechanical Engineering Department, University of California at Santa Barbara,
September 2023.
Keyword(s): Contraction Theory,
Network Systems,
Power Networks.
[bibtex-entry]
Conference articles
- F. Seccamonte, A. K. Singh, and F. Bullo. Inference of Infrastructure Network Flows via Physics-Inspired Implicit Neural Networks. In IEEE Conf. on Control Technology and Applications, Bridgetown, Barbados, August 2023. Keyword(s): Neural Networks. [bibtex-entry]
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K. D. Smith,
F. Seccamonte,
A. Swami,
and F. Bullo.
Physics-Informed Implicit Representations of Equilibrium Network Flows.
In Advances in Neural Information Processing Systems,
November 2022.
Keyword(s): Contraction Theory.
[bibtex-entry]
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