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Publications of year 2025
Books and proceedings
  1. F. Bullo. Lectures on Neural Dynamics. Unpublished Manuscript, 2025. Keyword(s): Neural Networks. 
    @Book{ fb:25-lnd,
author = {F. Bullo},
title = {Lectures on Neural Dynamics},
year = 2025,
noedition = {{1.2}},
nopublisher = {Kindle Direct Publishing},
publisher = {Unpublished Manuscript},
noisbn = {979-8836646806},
noisbn-hardocver={979-8333395283},
pdf = {https://fbullo.github.io/lnd},
keywords = {Neural Networks} 
}


Thesis
  1. A. Davydov. Contraction Theory in Control, Learning, and Optimization. PhD thesis, Mechanical Engineering Department, University of California at Santa Barbara, June 2025. Keyword(s): Contraction Theory, Network Systems, Machine Learning, Neural Networks. 
    @PhDThesis{ ad:25,
author = {A. Davydov},
title = {Contraction Theory in Control, Learning, and Optimization},
school = {Mechanical Engineering Department, University of California at Santa Barbara},
year = 2025,
month = jun,
pdf = {http://motion.me.ucsb.edu/pdf/phd-ad-jun25.pdf},
keywords = {Contraction Theory, Network Systems, Machine Learning, Neural Networks} 
}


Articles in journal, book chapters
  1. S. Betteti, G. Baggio, F. Bullo, and S. Zampieri. Firing Rate Models as Associative Memory: Excitatory-Inhibitory Balance for Robust Retrieval. Neural Computation, 2025. Note: To appear. Keyword(s): Neural Networks. 
    @Article{ sb-gb-fb-sz:24m,
author = {S. Betteti and G. Baggio and F. Bullo and S. Zampieri},
title = {Firing Rate Models as Associative Memory: Excitatory-Inhibitory Balance for Robust Retrieval},
journal = {Neural Computation},
doi = {10.48550/arXiv.2411.07388},
note = {To appear},
year = 2025,
keywords = {Neural Networks} 
}


  2. S. Betteti, G. Baggio, F. Bullo, and S. Zampieri. Stimulus-Driven Dynamics for Robust Memory Retrieval in Hopfield Networks. Science Advances, 11(17), 2025. Keyword(s): Neural Networks. 
    @Article{ sb-gb-fb-sz:23k,
author = {S. Betteti and G. Baggio and F. Bullo and S. Zampieri},
title = {Stimulus-Driven Dynamics for Robust Memory Retrieval in {Hopfield} Networks},
journal = {Science Advances},
year = 2025,
volume = 11,
number = 17,
doi = {10.1126/sciadv.adu6991},
keywords = {Neural Networks} 
}


  3. S. Betteti and F. Bullo. Contraction and concentration of measures with applications to theoretical neuroscience. Automatica, April 2025. Note: Submitted. 
    @Article{ sb-fb:25h,
author = {S. Betteti and F. Bullo},
title = {Contraction and concentration of measures with applications to theoretical neuroscience},
journal = automatica,
year = 2025,
month = apr,
note = {Submitted},
doi = {10.48550/arXiv.2504.05666} 
}


  4. V. Centorrino, F. Bullo, and G. Russo. Similarity Matching Networks: Hebbian Learning and Convergence over Multiple Time Scales. Neural Computation, June 2025. Note: Submitted. Keyword(s): Neural Networks. 
    @Article{ vc-fb-gr:24k,
author = {V. Centorrino and F. Bullo and G. Russo},
title = {Similarity Matching Networks: {Hebbian} Learning and Convergence over Multiple Time Scales},
journal = {Neural Computation},
keywords = {Neural Networks},
note = {Submitted},
month = jun,
year = 2025,
doi = {10.48550/arXiv.2506.06134} 
}


  5. Y. Chen, F. Bullo, and E. Dall'Anese. Sampled-data Systems: Stability, Contractivity and Single-iteration Suboptimal MPC. IEEE Transactions on Automatic Control, 2025. Note: Submitted. 
    @Article{ yc-fb-eda:24b,
author = {Y. Chen and F. Bullo and E. {Dall'Anese}},
title = {Sampled-data Systems: {Stability}, Contractivity and Single-iteration Suboptimal {MPC}},
journal = tac,
year = 2025,
note = {Submitted},
doi = {10.48550/arXiv.2505.18336} 
}


  6. G. Chen, W. Su, W. Mei, and F. Bullo. Convergence of the Heterogeneous Deffuant-Weisbuch Model: A Complete Proof and Some Extensions. IEEE Transactions on Automatic Control, 70(2):877-888, 2025. 
    @Article{ gc-ws-wm-fb:22t,
author = {G. Chen and W. Su and W. Mei and F. Bullo},
title = {Convergence of the Heterogeneous {Deffuant}-{Weisbuch} Model: {A} Complete Proof and Some Extensions},
journal = tac,
volume = 70,
number = 2,
pages = {877-888},
year = 2025,
doi = {10.1109/TAC.2024.3442952} 
}


  7. J. Cheng, G. Chen, W. Mei, and F. Bullo. Multidimensional Opinion Dynamics with Heterogeneous Bounded Confidences and Random Interactions. Automatica, 172:112002, 2025. 
    @Article{ jc-gc-wm-fb:23l,
author = {J. Cheng and G. Chen and W. Mei and F. Bullo},
title = {Multidimensional Opinion Dynamics with Heterogeneous Bounded Confidences and Random Interactions},
oldtitle = {Heterogeneous {Hegselmann}-{Krause} Model with Random Interactions},
journal = automatica,
year = 2025,
volume = 172,
pages = 112002,
doi = {10.1016/j.automatica.2024.112002} 
}


  8. 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, 70(11), 2025. Note: To appear. 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 = 2025,
volume = 70,
number = 11,
note = {To appear},
arxivdoi = {10.48550/arXiv.2305.15595},
doi = {10.1109/TAC.2025.3576043},
keywords = {Contraction Theory} 
}


  9. A. Davydov, A. V. Proskurnikov, and F. Bullo. Non-Euclidean Contraction Analysis of Continuous-Time Neural Networks. IEEE Transactions on Automatic Control, 70(1):235-250, 2025. Keyword(s): Contraction Theory, Neural Networks. 
    @Article{ ad-avp-fb:22q,
author = {A. Davydov and A. V. Proskurnikov and F. Bullo},
title = {{Non-Euclidean} Contraction Analysis of Continuous-Time Neural Networks},
journal = tac,
year = 2025,
volume = 70,
number = 1,
pages = {235-250},
keywords = {Contraction Theory, Neural Networks},
arxivdoi = {10.48550/arXiv.2110.08298},
doi = {10.1109/TAC.2024.3422217} 
}


  10. Y. John, G. Diaz-Garcìa, X. Duan, J. R. Marden, and F. Bullo. A Stochastic Surveillance Stackelberg Game: Co-Optimizing Defense Placement and Patrol Strategy. IEEE Transactions on Automatic Control, February 2025. Note: To appear. 
    @Article{ yj-gdg-xd-jrm-fb:23q,
author = {Y. John and G. Diaz-Garc\'ia and X. Duan and J. R. Marden and F. Bullo},
title = {A Stochastic Surveillance {Stackelberg} Game: Co-Optimizing Defense Placement and Patrol Strategy},
journal = tac,
year = 2025,
month = feb,
olddoi = {10.48550/arXiv.2308.14714},
doi = {10.1109/TAC.2025.3549295},
note = {To appear} 
}


Conference articles
  1. F. Bullo, S. Coogan, E. Dall'Anese, I. R. Manchester, and G. Russo. Advances in Contraction Theory for Robust Optimization, Control, and Neural Computation. In IEEE Conf. on Decision and Control, May 2025. Note: Submitted. 
    @InProceedings{ fb-sc-eda-irm-gr:25g,
author = {F. Bullo and S. Coogan and E. {Dall'Anese} and I. R. Manchester and G. Russo},
title = {Advances in Contraction Theory for Robust Optimization, Control, and Neural Computation},
booktitle = cdc,
year = 2025,
month = may,
note = {Submitted} 
}


  2. T. Guo, A. Ogranovich, A. R. Venkatakrishnan, M. Shapiro, F. Bullo, and F. Pasqualetti. Scalable Associative Memory for Robust Pattern Storage. In IEEE Conf. on Decision and Control, March 2025. Note: Submitted. 
    @InProceedings{ tg-ao-arv-ms-fb-fp:25e,
author = {T. Guo and A. Ogranovich and A. R. Venkatakrishnan and M. Shapiro and F. Bullo and F. Pasqualetti},
title = {Scalable Associative Memory for Robust Pattern Storage},
booktitle = cdc,
year = 2025,
month = mar,
doi = {10.48550/arXiv.2504.03102},
note = {Submitted} 
}


  3. R. Shima, A. Gokhale, A. Davydov, and F. Bullo. Contractivity Analysis and Control Design for Lur'e Systems: Lipschitz, Incrementally Sector Bounded, and Monotone Nonlinearities. In IEEE Conf. on Decision and Control, March 2025. Note: Submitted. 
    @InProceedings{ rs-ag-ad-fb:25a,
author = {R. Shima and A. Gokhale and A. Davydov and F. Bullo},
title = {Contractivity Analysis and Control Design for {Lur'e} Systems: {Lipschitz}, Incrementally Sector Bounded, and Monotone Nonlinearities},
booktitle = cdc,
year = 2025,
month = mar,
doi = {10.48550/arXiv.2503.20177},
nodoi = {10.48550/arXiv.2503.15093},
note = {Submitted} 
}


Miscellaneous
  1. A. K. Musaffar, A. Gokhale, S. Zeng, R. Tadayon, X. Yan, A. Singh, and F. Bullo. Learning to Lie: Reinforcement Learning-Driven Adversarial Attacks on Human-AI Teams and LLMs. ICLR Workshop on Human-AI Coevolution, 2025. 
    @Misc{ akm-ag-sz-rt-xy-as-fb:25c,
title = {Learning to Lie: {Reinforcement} Learning-Driven Adversarial Attacks on Human-{AI} Teams and {LLMs}},
author = {A. K. Musaffar and A. Gokhale and S. Zeng and R. Tadayon and X. Yan and A. Singh and F. Bullo},
howpublished = {ICLR Workshop on Human-AI Coevolution},
year = 2025,
doi = {10.48550/arXiv.2503.21983} 
}



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