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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 Unpublished Manuscript, 2025.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, Theoretical Neuroscience. 
    @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publisher = {Unpublished Manuscript},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, Theoretical Neuroscience} 
}


  2. F. Bullo and S. L. Smith. Lectures on Robotic Planning and Kinematics. Unpublished Manuscript, .94 edition, 2025. 
    @Book{ fb-sls:25,
author = {F. Bullo and S. L. Smith},
title = {Lectures on Robotic Planning and Kinematics},
year = 2025,
publisher = {Unpublished Manuscript},
edition = {{.94}} 
}


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. O. Askarisichani, E. Y. Huang, A. K. Musaffar, N. E. Friedkin, F. Bullo, and A. K. Singh. Expertise and confidence explain how social influence evolves along intellective tasks. PLoS One, 2025. Note: Submitted. Keyword(s): Social Networks. 
    @Article{ oa-eyh-akm-nef-fb-aks:20l,
author = {O. Askarisichani and E. Y. Huang and A. K. Musaffar and N. E. Friedkin and F. Bullo and A. K. Singh},
title = {Expertise and confidence explain how social influence evolves along intellective tasks},
year = 2025,
journal = plosone,
note = {Submitted},
newpdf = {http://motion.me.ucsb.edu/pdf/2020l-ahsfbs.pdf},
arxivurl = {http://arxiv.org/pdf/2011.07168},
doi = {10.48550/arXiv.2011.07168},
keywords = {Social Networks},
sigstat = {How do individuals become influential within a team and to what extent is influence affected by cognitive biases and heuristics? Predicting social influence has important applications in finance, politics, and any task-oriented teams. We propose machine learning models to predict interpersonal influence in teams using message content, communication times, and individual task performance. We also propose an intuitive cognitive model that tests and validates the hypotheses that expertise, confidence, and psychological cognitive biases drive the formation of social influence. Our findings on groups of human subjects show the proposed models significantly improve the prediction of influence networks compared to baseline algorithms.} 
}


  2. S. Betteti, G. Baggio, F. Bullo, and S. Zampieri. Firing Rate Models as Associative Memory: Excitatory-Inhibitory Balance for Robust Retrieval. Neural Computation, pp 1-32, 08 2025. Keyword(s): Neural Networks, Theoretical Neuroscience. 
    @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},
olddoi = {10.48550/arXiv.2411.07388},
pages = {1-32},
year = 2025,
month = 08,
doi = {10.1162/neco.a.28},
keywords = {Neural Networks, Theoretical Neuroscience} 
}


  3. S. Betteti, G. Baggio, F. Bullo, and S. Zampieri. Input-Driven Dynamics for Robust Memory Retrieval in Hopfield Networks. Science Advances, 11(17), 2025. Keyword(s): Neural Networks, Theoretical Neuroscience. 
    @Article{ sb-gb-fb-sz:23k,
author = {S. Betteti and G. Baggio and F. Bullo and S. Zampieri},
title = {Input-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, Theoretical Neuroscience} 
}


  4. S. Betteti and F. Bullo. Contraction and Concentration of Measures with Applications to Theoretical Neuroscience. Automatica, April 2025. Note: Submitted. Keyword(s): Contraction Theory, Theoretical Neuroscience. 
    @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},
keywords = {Contraction Theory, Theoretical Neuroscience} 
}


  5. Simone Betteti, William Retnaraj, A. Davydov, Jorge Cortes, and F. Bullo. Competition, Stability, and Functionality in Excitatory-Inhibitory Neural Circuits. Technical report, 2025. Note: ArXiv:2512.05252. Keyword(s): Neural Networks. 
    @Article{ sb-wr-ad-jc-fb:25i,
author = {Simone Betteti and William Retnaraj and A. Davydov and Jorge Cortes and F. Bullo},
title = {Competition, Stability, and Functionality in Excitatory-Inhibitory Neural Circuits},
journal = {Technical report},
year = 2025,
keywords = {Neural Networks},
note = {arXiv:2512.05252},
doi = {10.48550/arXiv.2512.05252} 
}


  6. V. Centorrino, F. Bullo, and G. Russo. Similarity Matching Networks: Hebbian Learning and Convergence over Multiple Time Scales. Neural Computation, June 2025. Note: To appear. Keyword(s): Neural Networks, Theoretical Neuroscience. 
    @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, Theoretical Neuroscience},
note = {To appear},
month = jun,
year = 2025,
doi = {10.48550/arXiv.2506.06134} 
}


  7. 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} 
}


  8. 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} 
}


  9. 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} 
}


  10. 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):7446-7460, 2025. 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,
pages = {7446-7460},
arxivdoi = {10.48550/arXiv.2305.15595},
doi = {10.1109/TAC.2025.3576043},
keywords = {Contraction Theory} 
}


  11. 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} 
}


  12. 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, 70(8):5468-5474, 2025. 
    @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,
volume = 70,
number = 8,
pages = {5468-5474},
olddoi = {10.48550/arXiv.2308.14714},
doi = {10.1109/TAC.2025.3549295} 
}


  13. Z. Marvi, F. Bullo, and A. G. Alleyne. Air Cooled Battery Pack Thermal Management via Control Barrier Proximal Dynamics. IEEE Transactions on Control Systems Technology, June 2025. Note: Submitted. Keyword(s): Contraction Theory. 
    @Article{ zm-fb-aga:25p,
author = {Z. Marvi and F. Bullo and A. G. Alleyne},
title = {Air Cooled Battery Pack Thermal Management via Control Barrier Proximal Dynamics},
journal = tcst,
year = 2025,
month = jun,
note = {Submitted},
keywords = {Contraction Theory} 
}


  14. Z. Marvi, F. Bullo, and A. G. Alleyne. Discrete Control Barrier Proximal Dynamics: Quantized Multi-Actuator and Sampled-data Systems. Automatica, 2025. Note: Submitted. Keyword(s): Contraction Theory. 
    @Article{ zm-fb-aga:25ab,
author = {Z. Marvi and F. Bullo and A. G. Alleyne},
title = {Discrete Control Barrier Proximal Dynamics: {Quantized} Multi-Actuator and Sampled-data Systems},
journal = automatica,
year = 2025,
note = {Submitted},
keywords = {Contraction Theory} 
}


  15. F. Rossi, V. Centorrino, F. Bullo, and G. Russo. Neural Policy Composition from Free Energy Minimization. Technical report, 2025. Note: ArXiv:2512.04745. Keyword(s): Neural Networks. 
    @Article{ fr-vc-fb-gr:25k,
author = {F. Rossi and V. Centorrino and F. Bullo and G. Russo},
title = {Neural Policy Composition from Free Energy Minimization},
oldtitle = {Biologically Plausible Policy Composition via Free Energy Minimization},
journal = {Technical report},
doi = {10.48550/arXiv.2512.04745},
note = {arXiv:2512.04745},
year = 2025,
keywords = {Neural Networks} 
}


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, Rio de Janeiro, Brazil, 2025. 
    @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,
address = {Rio de Janeiro, Brazil},
doi = {10.1109/CDC57313.2025.11312936} 
}


  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: To appear. 
    @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 = {To appear} 
}


Miscellaneous
  1. A. Gokhale, V. Srivastava, and F. Bullo. LTLCrit: A Temporal Logic-based LLM Critic for Safe and Efficient Embodied Agents, 2025. 
    @Misc{ ag-vs-fb:25m,
doi = {10.48550/arxiv.2507.03293},
author = {A. Gokhale and V. Srivastava and F. Bullo},
title = {{LTLCrit:} A Temporal Logic-based {LLM} Critic for Safe and Efficient Embodied Agents},
publisher = {arXiv},
year = 2025 
}


  2. A. K. Musaffar, A. Gokhale, S. Zeng, R. Tadayon, X. Yan, A. K. 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-aks-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. K. Singh and F. Bullo},
howpublished = {ICLR Workshop on Human-AI Coevolution},
year = 2025,
doi = {10.48550/arXiv.2503.21983} 
}



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