1. F. Bullo. Lectures on Neural Dynamics. Unpublished Manuscript, 2025. Keyword(s): Neural Networks. [bibtex-entry]

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. [bibtex-entry]

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. [bibtex-entry]



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. [bibtex-entry]



3. S. Betteti and F. Bullo. Contraction and concentration of measures with applications to theoretical neuroscience. Automatica, April 2025. Note: Submitted. [bibtex-entry]



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. [bibtex-entry]



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. [bibtex-entry]



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. [bibtex-entry]



7. J. Cheng, G. Chen, W. Mei, and F. Bullo. Multidimensional Opinion Dynamics with Heterogeneous Bounded Confidences and Random Interactions. Automatica, 172:112002, 2025. [bibtex-entry]



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. [bibtex-entry]



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. [bibtex-entry]



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. [bibtex-entry]

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. [bibtex-entry]



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. [bibtex-entry]



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. [bibtex-entry]

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. [bibtex-entry]

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