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Publications of year 2023
Thesis
  1. 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. 
    @PhDThesis{ fs:23,
author = {F. Seccamonte},
title = {Bilevel Optimization in Learning and Control with Applications to Network Flow Estimation},
school = {Mechanical Engineering Department, University of California at Santa Barbara},
year = 2023,
month = sep,
pdf = {http://motion.me.ucsb.edu/pdf/phd-fs-sep23.pdf},
keywords = {Contraction Theory, Network Systems, Power Networks} 
}


Articles in journal, book chapters
  1. V. Centorrino, A. Gokhale, A. Davydov, G. Russo, and F. Bullo. Euclidean Contractivity of Neural Networks with Symmetric Weights. IEEE Control Systems Letters, 7:1724-1729, 2023. Keyword(s): Contraction Theory, Neural Networks. 
    @Article{ vc-ag-ad-gr-fb:23c,
author = {V. Centorrino and A. Gokhale and A. Davydov and G. Russo and F. Bullo},
title = {Euclidean Contractivity of Neural Networks with Symmetric Weights},
year = 2023,
journal = lcss,
volume = 7,
pages = {1724-1729},
olddoi = {10.48550/arXiv.2302.13452},
doi = {10.1109/LCSYS.2023.3278250},
keywords = {Contraction Theory, Neural Networks} 
}


  2. P. Cisneros-Velarde and F. Bullo. Distributed Wasserstein Barycenters via Displacement Interpolation. IEEE Transactions on Control of Network Systems, 10(2):785-795, 2023. 
    @Article{ pcv-fb:20k,
title = {Distributed {Wasserstein} Barycenters via Displacement Interpolation},
author = {P. Cisneros-Velarde and F. Bullo},
year = 2023,
journal = tcns,
volume = 10,
number = 2,
pages = {785-795},
doi = {10.1109/TCNS.2022.3210341},
pdf = {https://arxiv.org/pdf/2012.08610.pdf} 
}


  3. M. Coraggio, S. Jafarpour, F. Bullo, and M. di Bernardo. Minimax Flow over Acyclic Networks: Distributed Algorithms and Microgrid Application. IEEE Transactions on Control of Network Systems, 10(2):937-946, 2023. 
    @Article{ mc-sj-fb-mdb:21o,
author = {M. Coraggio and S. Jafarpour and F. Bullo and M. {di~Bernardo}},
title = {Minimax Flow over Acyclic Networks: {D}istributed Algorithms and Microgrid Application},
journal = tcns,
year = 2023,
volume = 10,
number = 2,
pages = {937-946},
doi = {10.1109/TCNS.2022.3212638},
pdf = {https://arxiv.org/abs/2201.03310} 
}


  4. A. Davydov, V. Centorrino, A. Gokhale, G. Russo, and F. Bullo. Time-Varying Convex Optimization: A Contraction and Equilibrium Tracking Approach. IEEE Transactions on Automatic Control, June 2023. Note: Conditionally accepted. Keyword(s): Contraction Theory. 
    @Article{ ad-vc-ag-gr-fb:23f,
author = {A. Davydov and V. Centorrino and A. Gokhale and G. Russo and F. Bullo},
title = {Time-Varying Convex Optimization: A Contraction and Equilibrium Tracking Approach},
oldtitle = {Contracting Dynamics for Time-Varying Convex Optimization},
journal = tac,
year = 2023,
month = jun,
note = {Conditionally accepted},
doi = {10.48550/arXiv.2305.15595},
keywords = {Contraction Theory} 
}


  5. R. Delabays and F. Bullo. Semicontraction and Synchronization of Kuramoto-Sakaguchi Oscillator Networks. IEEE Control Systems Letters, 7:1566-1571, 2023. Keyword(s): Contraction Theory, Oscillator Networks. 
    @Article{ rd-fb:22s,
author = {R. Delabays and F. Bullo},
title = {Semicontraction and Synchronization of {Kuramoto}-{Sakaguchi} Oscillator Networks},
journal = lcss,
year = 2023,
volume = 7,
pages = {1566-1571},
doi = {10.1109/LCSYS.2023.3275169},
olddoi = {10.48550/arXiv.2303.10127},
keywords = {Contraction Theory, Oscillator Networks} 
}


  6. G. Diaz-Garcìa, F. Bullo, and J. R. Marden. Distributed Markov chain-based Strategies for Multi-Agent Robotic Surveillance. IEEE Control Systems Letters, 7:2527-2532, 2023. 
    @Article{ gdg-fb-jrm:22v,
title = {Distributed {Markov} chain-based Strategies for Multi-Agent Robotic Surveillance},
author = {G. Diaz-Garc\'ia and F. Bullo and J. R. Marden},
journal = lcss,
year = 2023,
doi = {10.1109/LCSYS.2023.3288492},
volume = 7,
pages = {2527-2532} 
}


  7. A. Gokhale, A. Davydov, and F. Bullo. Contractivity of Distributed Optimization and Nash Seeking Dynamics. IEEE Control Systems Letters, 7:3896-3901, 2023. 
    @Article{ ag-ad-fb:23o,
author = {A. Gokhale and A. Davydov and F. Bullo},
title = {Contractivity of Distributed Optimization and {Nash} Seeking Dynamics},
journal = lcss,
year = 2023,
volume = 7,
pages = {3896-3901},
doi = {10.1109/LCSYS.2023.3341987},
olddoi = {10.48550/arXiv.2309.05873} 
}


  8. E. Y. Huang, D. Paccagnan, W. Mei, and F. Bullo. Assign and Appraise: Achieving Optimal Performance in Collaborative Teams. IEEE Transactions on Automatic Control, 68(3):1614-1627, 2023. 
    @Article{ eyh-dp-wm-fb:19h,
author = {E. Y. Huang and D. Paccagnan and W. Mei and F. Bullo},
title = {Assign and Appraise: {A}chieving Optimal Performance in Collaborative Teams},
journal = tac,
year = 2023,
doi = {10.1109/TAC.2022.3156879},
volume = 68,
number = 3,
pages = {1614-1627},
pdf = {https://arxiv.org/pdf/2008.09817.pdf} 
}


  9. S. Jafarpour, A. Davydov, and F. Bullo. Non-Euclidean Contraction Theory for Monotone and Positive Systems. IEEE Transactions on Automatic Control, 68(9):5653-5660, 2023. Keyword(s): Contraction Theory, Neural Networks. 
    @Article{ sj-ad-fb:20r,
author = {S. Jafarpour and A. Davydov and F. Bullo},
title = {{Non-Euclidean} Contraction Theory for Monotone and Positive Systems},
journal = tac,
year = 2023,
volume = 68,
number = 9,
pages = {5653-5660},
doi = {10.1109/TAC.2022.3224094},
pdf = {https://arxiv.org/pdf/2104.01321.pdf},
keywords = {Contraction Theory, Neural Networks} 
}


  10. W. Liu, J. Sun, G. Wang, F. Bullo, and J. Chen. Data-Driven Resilient Model Predictive Control under Denial-of-Service. IEEE Transactions on Automatic Control, 68(8):4722-4737, 2023. 
    @Article{ wl-js-gw-fb-jc:21c,
title = {Data-Driven Resilient Model Predictive Control under Denial-of-Service},
author = {W. Liu and J. Sun and G. Wang and F. Bullo and J. Chen},
fullauthor = {Wenjie Liu and Jian Sun and Gang Wang and Francesco Bullo and Jie Chen},
year = 2023,
journal = tac,
volume = 68,
number = 8,
pages = {4722-4737},
doi = {10.1109/TAC.2022.3209399} 
}


  11. W. Liu, J. Sun, G. Wang, F. Bullo, and J. Chen. Data-Driven Self-triggered Control via Trajectory Prediction. IEEE Transactions on Automatic Control, 68(11):6951-6958, 2023. 
    @Article{ wl-js-gw-fb-jc:22e,
title = {Data-Driven Self-triggered Control via Trajectory Prediction},
author = {W. Liu and J. Sun and G. Wang and F. Bullo and J. Chen},
fullauthor = {Wenjie Liu and Jian Sun and Gang Wang and Francesco Bullo and Jie Chen},
year = 2023,
journal = tac,
volume = 68,
number = 11,
pages = {6951-6958},
doi = {10.1109/TAC.2023.3244116} 
}


  12. A. V. Proskurnikov, A. Davydov, and F. Bullo. The Yakubovich S-Lemma Revisited: Stability and Contractivity in Non-Euclidean Norms. SIAM Journal on Control and Optimization, 61(4):1955-1978, 2023. Keyword(s): Contraction Theory. 
    @Article{ avp-ad-fb:22a,
author = {A. V. Proskurnikov and A. Davydov and F. Bullo},
title = {The {Yakubovich} {S-Lemma} Revisited: {Stability} and Contractivity in Non-{Euclidean} Norms},
journal = sicon,
doi = {10.1137/22M1512600},
volume = 61,
number = 4,
pages = {1955-1978},
year = 2023,
keywords = {Contraction Theory},
olddoi = {10.48550/arXiv.2207.14579} 
}


  13. C. Ravazzi, F. Bullo, and F. Dabbene. Unveiling oligarchy in influence networks from partial information. IEEE Transactions on Control of Network Systems, 10(3):1279-1290, 2023. 
    @Article{ cr-fb-fd:21b,
author = {C. Ravazzi and F. Bullo and F. Dabbene},
title = {Unveiling oligarchy in influence networks from partial information},
journal = tcns,
year = 2023,
doi = {10.1109/TCNS.2022.3225299},
volume = 10,
number = 3,
pages = {1279-1290} 
}


  14. K. D. Smith and F. Bullo. Contractivity of the Method of Successive Approximations for Optimal Control. IEEE Control Systems Letters, 7:919-924, 2023. Keyword(s): Contraction Theory. 
    @Article{ kds-fb:22o,
author = {K. D. Smith and F. Bullo},
title = {Contractivity of the Method of Successive Approximations for Optimal Control},
journal = lcss,
year = 2023,
volume = 7,
pages = {919-924},
keywords = {Contraction Theory},
arxivdoi = {10.48550/arXiv.2209.10046},
doi = {10.1109/LCSYS.2022.3228723} 
}


  15. K. D. Smith and F. Bullo. Convex Optimization of the Basic Reproduction Number. IEEE Transactions on Automatic Control, 68(7):4398-4404, 2023. 
    @Article{ kds-fb:21i,
title = {Convex Optimization of the Basic Reproduction Number},
author = {K. D. Smith and F. Bullo},
journal = tac,
year = 2023,
volume = 68,
number = 7,
pages = {4398-4404},
doi = {10.1109/TAC.2022.3212012} 
}


  16. Y. Tian, L. Wang, and F. Bullo. How Social Influence affects the Wisdom of Crowds in Influence Networks. SIAM Journal on Control and Optimization, 61(4):2334-2357, 2023. 
    @Article{ yt-lw-fb:20q,
author = {Y. Tian and L. Wang and F. Bullo},
title = {How Social Influence affects the Wisdom of Crowds in Influence Networks},
journal = sicon,
year = 2023,
doi = {10.1137/22M1492751},
volume = 61,
number = 4,
pages = {2334-2357},
oldurl = {https://arxiv.org/abs/2204.13610} 
}


Conference articles
  1. V. Centorrino, A. Gokhale, A. Davydov, G. Russo, and F. Bullo. Contractivity of Symmetric Neural Networks for Non-negative Sparse Approximation. In CCS/Italy 2023 Italian Regional Conference on Complex Systems, Naples, Italy, october 2023. Note: Poster Presentation. Keyword(s): Contraction Theory, Neural Networks. 
    @InProceedings{ vc-ag-ad-gr-fb:23a1,
author = {V. Centorrino and A. Gokhale and A. Davydov and G. Russo and F. Bullo},
title = {Contractivity of Symmetric Neural Networks for Non-negative Sparse Approximation},
year = 2023,
month = october,
address = {Naples, Italy},
note = {Poster Presentation},
booktitle = {{CCS/Italy} 2023 Italian Regional Conference on Complex Systems},
keywords = {Contraction Theory, Neural Networks},
oldurl = {https://italy.cssociety.org/index.php/2023/05/23/ccs-italy-conference-2023/} 
}


  2. A. Davydov, S. Jaffe, A. K. Singh, and F. Bullo. Retrieving $k$-Nearest Memories with Modern Hopfield Networks. In 2023 NEURIPS Workshop on Associative Memory and Hopfield Networks, December 2023. 
    @InProceedings{ ad-sj-aks-fb:23w,
title = {Retrieving $k$-Nearest Memories with Modern {Hopfield} Networks},
author = {A. Davydov and S. Jaffe and A. K. Singh and F. Bullo},
month = dec,
year = 2023,
booktitle = {2023 NEURIPS Workshop on Associative Memory and Hopfield Networks} 
}


  3. G. Diaz-Garcìa, F. Bullo, and J. R. Marden. Beyond the Enemy-of-my-Enemy Alliances: Coalitions in Networked Contest Games. In IEEE Conf. on Decision and Control, Singapore, December 2023. 
    @InProceedings{ gdg-fb-jrm:23j,
author = {G. Diaz-Garc\'ia and F. Bullo and J. R. Marden},
title = {Beyond the "Enemy-of-my-Enemy" Alliances: {Coalitions} in Networked Contest Games},
year = 2023,
month = dec,
booktitle = cdc,
address = {Singapore},
doi = {10.1109/CDC49753.2023.10383807} 
}


  4. S. Jaffe, A. K. Singh, and F. Bullo. IDKM: Memory Efficient Neural Network Quantization via Implicit Differentiable $k$-Means. In ICLR Workshop on Sparsity in Neural Networks, May 2023. Keyword(s): Neural Networks. 
    @InProceedings{ sj-aks-fb:22y,
author = {S. Jaffe and A. K. Singh and F. Bullo},
title = {{IDKM:} {Memory} Efficient Neural Network Quantization via Implicit Differentiable $k$-Means},
year = 2023,
month = may,
booktitle = {ICLR Workshop on Sparsity in Neural Networks},
doi = {10.48550/arXiv.2312.07759},
keywords = {Neural Networks},
oldurl = {https://icml.cc/virtual/2022/workshop/13473} 
}


  5. 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. 
    @InProceedings{ fs-fb-aks:22j,
title = {Inference of Infrastructure Network Flows via Physics-Inspired Implicit Neural Networks},
author = {F. Seccamonte and A. K. Singh and F. Bullo},
booktitle = ccta,
address = {Bridgetown, Barbados},
month = aug,
year = 2023,
keywords = {Neural Networks},
doi = {10.1109/CCTA54093.2023.10252477} 
}



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