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Publications of year 2026

Books and proceedings

  1. F. Bullo. Contraction Theory for Dynamical Systems. Kindle Direct Publishing, 1.3 edition, 2026. PDF 
    @Book{ fb:26-ctds,
author = {F. Bullo},
title = {Contraction Theory for Dynamical Systems},
year = 2026,
edition = {{1.3}},
publisher = {Kindle Direct Publishing},
isbn = {979-8836646806},
isbn-hardocver= {979-8333395283},
pdf = {https://fbullo.github.io/ctds},
oldurl = {http://motion.me.ucsb.edu/book-ctds} 
}

Thesis

  1. S. Betteti. Associative Memory and Recurrent Neural Networks: A Dynamical Systems Approach. PhD thesis, Information Engineering Department, Università di Padova, Italy, February 2026. PDF Keyword(s): Contraction Theory, Network Systems, Machine Learning, Neural Networks, Theoretical Neuroscience. 
    @PhDThesis{ sb:26,
author = {S. Betteti},
title = {Associative Memory and Recurrent Neural Networks: A Dynamical Systems Approach},
school = {Information Engineering Department, Universit\`a di Padova, Italy},
year = 2026,
month = feb,
pdf = {http://motion.me.ucsb.edu/pdf/phd-sb-feb26.pdf},
keywords = {Contraction Theory, Network Systems, Machine Learning, Neural Networks, Theoretical Neuroscience} 
}

Articles in journal or book chapters

  1. K. Boonyawat and F. Bullo. On Proportional-Integral Control of Contracting Dynamics. IEEE Transactions on Automatic Control, 2026. Note: Submitted. Keyword(s): Contraction Theory. 
    @Article{ kb-fb:25n,
author = {K. Boonyawat and F. Bullo},
title = {On Proportional-Integral Control of Contracting Dynamics},
journal = tac,
year = 2026,
keywords = {Contraction Theory},
note = {Submitted},
nodoiyet = {10.48550/arXiv.2602.18382} 
}
  2. F. Bullo. Predictive Coding with Bayesian Priors via Proximal Gradients. Technical Report, 2026. Note: ArXiv:2606.08374. Keyword(s): Neural Networks. 
    @Article{ fb:26k,
author = {F. Bullo},
title = {Predictive Coding with {Bayesian} Priors via Proximal Gradients},
journal = {Technical Report},
year = 2026,
keywords = {Neural Networks},
note = {arXiv:2606.08374},
doi = {10.48550/arXiv.2606.08374} 
}
  3. V. Centorrino, F. Bullo, and G. Russo. Similarity Matching Networks: Hebbian Learning and Convergence over Multiple Time Scales. Neural Computation, 38:725-764, 2026. 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},
volume = 38,
pages = {725-764},
year = 2026,
doi = {10.1162/NECO.a.1509},
doiarxiv = {10.48550/arXiv.2506.06134},
keywords = {Neural Networks, Theoretical Neuroscience} 
}
  4. V. Centorrino, F. Rossi, F. Bullo, and G. Russo. Proximal Gradient Dynamics and Feedback Control for Equality-Constrained Composite Optimization. European Journal of Control, pp 101615, 2026. 
    @Article{ vc-fr-fb-gr:26p,
author = {V. Centorrino and F. Rossi and F. Bullo and G. Russo},
title = {Proximal Gradient Dynamics and Feedback Control for Equality-Constrained Composite Optimization},
journal = ejc,
year = 2026,
arxivdoi = {10.48550/arXiv.2503.15093},
doi = {10.1016/j.ejcon.2026.101615},
pages = 101615 
}
  5. Y. Chen, F. Bullo, and E. Dall'Anese. Sampled-data Systems: Stability, Contractivity and Single-iteration Suboptimal MPC. IEEE Transactions on Automatic Control, 2026. Note: To appear. Keyword(s): Nonlinear Control, Contraction Theory. 
    @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 = 2026,
note = {To appear},
doiarxiv = {10.48550/arXiv.2505.18336},
doi = {10.1109/TAC.2026.3707455},
keywords = {Nonlinear Control, Contraction Theory} 
}
  6. L. Cothren, F. Bullo, and E. Dall'Anese. Online Feedback Optimization and Singular Perturbation via Contraction Theory. SIAM Journal on Control and Optimization, 64(3):1482--1506, 2026. Keyword(s): Contraction Theory. 
    @Article{ lc-fb-eda:23g,
author = {L. Cothren and F. Bullo and E. {Dall'Anese}},
title = {Online Feedback Optimization and Singular Perturbation via Contraction Theory},
journal = sicon,
year = 2026,
volume = 64,
number = 3,
pages = {1482--1506},
nonote = "To appear",
keywords = {Contraction Theory},
doi = {10.1137/24M1684736},
nodoi = {10.48550/arXiv.2310.07966} 
}
  7. G. Diaz-Garcia, F. Bullo, and J. R. Marden. Strategic Coalitions in Networked Contest Games. IEEE Transactions on Automatic Control, 71:2187-2199, 2026. 
    @Article{ gdg-fb-jrm:24p,
author = {G. Diaz-Garcia and F. Bullo and J. R. Marden},
title = {Strategic Coalitions in Networked Contest Games},
journal = tac,
year = 2026,
volume = 71,
issue = 4,
pages = {2187-2199},
doi = {10.1109/TAC.2025.3623942},
arxivdoi = {10.48550/arXiv.2408.00883} 
}
  8. E. M. H. Ekanayake, A. R. Venkatakrishnan, F. Bullo, and N. Shukla. Mind the Gap: Where Analog Ising Machines Cease to Minimize the Ising Hamiltonian. Technical Report, 2026. Note: Submitted. 
    @Article{ emhe-arv-fb-ns:26,
author = {E. M. H. Ekanayake and A. R. Venkatakrishnan and F. Bullo and N. Shukla},
title = {Mind the Gap: {Where} Analog {Ising} Machines Cease to Minimize the {Ising} {Hamiltonian}},
journal = {Technical Report},
year = 2026,
note = {Submitted},
doi = {10.48550/arXiv.2603.02933} 
}
  9. A. Gokhale, A. V. Proskurnikov, Y. Kawano, and F. Bullo. A Nonlinear Separation Principle via Contraction Theory: Applications to Neural Networks, Control, and Learning. IEEE Transactions on Automatic Control, April 2026. Note: Submitted. 
    @Article{ ag-avp-yk-fb:26a-journal,
author = {A. Gokhale and A. V. Proskurnikov and Y. Kawano and F. Bullo},
title = {A Nonlinear Separation Principle via Contraction Theory: Applications to Neural Networks, Control, and Learning},
journal = tac,
year = 2026,
month = apr,
doi = {10.48550/arXiv.2604.15238},
note = {Submitted} 
}
  10. Y. John, G. Dìaz-Garcìa, J. R. Marden, and F. Bullo. Deceptive Robotic Patrolling via Markov Chain Lifting. IEEE Transactions on Robotics, September 2026. Note: Submitted. 
    @Article{ yj-gdg-jrm-fb:26q,
author = {Y. John and G. D\'iaz-Garc\'ia and J. R. Marden and F. Bullo},
title = {Deceptive Robotic Patrolling via {Markov} Chain Lifting},
journal = tr,
year = 2026,
month = sep,
note = {Submitted} 
}
  11. Y. Kawano, S. Betteti, A. Davydov, and F. Bullo. Incremental input-to-state stability and equilibrium tracking for stochastic contracting dynamics. IEEE Transactions on Automatic Control, 2026. Note: Submitted. Keyword(s): Contraction Theory. 
    @Article{ yk-sb-ad-fb:25w,
author = {Y. Kawano and S. Betteti and A. Davydov and F. Bullo},
title = {Incremental input-to-state stability and equilibrium tracking for stochastic contracting dynamics},
journal = tac,
year = 2026,
keywords = {Contraction Theory},
note = {Submitted},
doi = {10.48550/arXiv.2602.18382} 
}
  12. Y. Kawano and F. Bullo. Contractivity of Multi-Stage Runge--Kutta Dynamics. Automatica, 2026. Note: Submitted. Keyword(s): Contraction Theory. 
    @Article{ yk-fb:26b,
author = {Y. Kawano and F. Bullo},
title = {Contractivity of Multi-Stage {Runge}--{Kutta} Dynamics},
journal = automatica,
year = 2026,
note = {Submitted},
keywords = {Contraction Theory},
doi = {10.48550/arXiv.2603.11349} 
}
  13. Y. Kawano and F. Bullo. Input-to-State Stability Implications in Contraction Theory. Automatica, 2026. Note: Submitted. Keyword(s): Contraction Theory. 
    @Article{ yk-fb:26c,
author = {Y. Kawano and F. Bullo},
title = {Input-to-State Stability Implications in Contraction Theory},
journal = automatica,
year = 2026,
note = {Submitted},
keywords = {Contraction Theory},
doi = {10.48550/arXiv.2607.05640} 
}
  14. 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, 2026. Note: To appear. 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 = 2026,
note = {To appear},
doi = {10.1109/TCST.2026.3684072},
keywords = {Contraction Theory} 
}
  15. R. Ofir, F. Bullo, and M. Margaliot. A Sufficient Condition for 2-Contraction of a Feedback Interconnection. IEEE Transactions on Automatic Control, 71(2):1207-1214, 2026. Keyword(s): Contraction Theory. 
    @Article{ ro-fb-mm:24q,
author = {R. Ofir and F. Bullo and M. Margaliot},
title = {A Sufficient Condition for 2-Contraction of a Feedback Interconnection},
year = 2026,
volume = 71,
number = 2,
pages = {1207-1214},
journal = tac,
arxivdoi = {10.48550/arXiv.2408.12790},
doi = {10.1109/TAC.2025.3602711},
keywords = {Contraction Theory} 
}
  16. A. Ogranovich, T. Guo, A. R. Venkatakrishnan, M. Shapiro, F. Bullo, and F. Pasqualetti. Oscillator-Based Associative Memory with Exponential Capacity: Theory, Algorithms, and Hardware Implementation. IEEE Transactions on Control of Network Systems, March 2026. Note: Submitted. 
    @Article{ ao-tg-arv-ms-fb-fp:26f,
author = {A. Ogranovich and T. Guo and A. R. Venkatakrishnan and M. Shapiro and F. Bullo and F. Pasqualetti},
title = {Oscillator-Based Associative Memory with Exponential Capacity: Theory, Algorithms, and Hardware Implementation},
journal = tcns,
year = 2026,
month = mar,
note = {Submitted},
doi = {10.48550/arXiv.2604.01469} 
}
  17. A. V. Proskurnikov and F. Bullo. Regular Pairings for Non-Quadratic Lyapunov Functions and Contraction Analysis. SIAM Journal on Control and Optimization, 64(1):496-521, 2026. Keyword(s): Contraction Theory. 
    @Article{ avp-fb:22n,
author = {A. V. Proskurnikov and F. Bullo},
title = {Regular Pairings for Non-Quadratic {Lyapunov} Functions and Contraction Analysis},
journal = sicon,
year = 2026,
volume = 64,
number = 1,
pages = {496-521},
doi = {10.1137/24M1689685},
keywords = {Contraction Theory},
olddoi = {10.48550/arXiv.2408.17350} 
}
  18. A. R. Venkatakrishnan, M. Emerick, B. Bamieh, and F. Bullo. Mean-Field Oscillator Ising Machines: Gradient Flows and Classification of Limit Solutions. Technical Report, August 2026. Note: ArXiv:2608.16025. Keyword(s): Oscillator Networks. 
    @Article{ arv-me-bb-fb:26,
author = {A. R. Venkatakrishnan and M. Emerick and B. Bamieh and F. Bullo},
title = {Mean-Field Oscillator {Ising} Machines: Gradient Flows and Classification of Limit Solutions},
journal = {Technical Report},
year = 2026,
month = aug,
keywords = {Oscillator Networks},
note = {arXiv:2608.16025},
doi = {10.48550/arXiv.2608.16025} 
}

Conference articles

  1. V. Centorrino, F. Rossi, F. Bullo, and G. Russo. Proximal Gradient Dynamics and Feedback Control for Equality-Constrained Composite Optimization. In European Control Conference, Reykjavík, Iceland, July 2026. Note: To appear. 
    @InProceedings{ vc-fr-fb-gr:25d,
author = {V. Centorrino and F. Rossi and F. Bullo and G. Russo},
title = {Proximal Gradient Dynamics and Feedback Control for Equality-Constrained Composite Optimization},
booktitle = ecc,
year = 2026,
month = jul,
address = {Reykjavík, Iceland},
doi = {10.48550/arXiv.2503.15093},
note = {To appear} 
}
  2. E. Demirci, F. Bullo, A. Swami, and A. K. Singh. FlowSymm: Physics Aware, Symmetry Preserving Graph Attention for Network Flow Completion. In International Conference on Learning Representations, 2026. 
    @InProceedings{ ed-fb-as-aks:25l,
title = {{FlowSymm}: {Physics} Aware, Symmetry Preserving Graph Attention for Network Flow Completion},
author = {E. Demirci and F. Bullo and A. Swami and A. K. Singh},
booktitle = iclr,
year = 2026,
noaddress = {Rio de Janeiro, Brazil},
doiarxiv = {10.48550/arXiv.2601.22317},
nofunding = {missing!!!} 
}
  3. A. Gokhale, A. V. Proskurnikov, Y. Kawano, and F. Bullo. Contracting Neural Networks: Sharp LMI Conditions with Applications to Integral Control and Deep Learning. In IEEE Conf. on Decision and Control, Honolulu, Hawaii, 2026. Note: To appear. 
    @InProceedings{ ag-avp-yk-fb:26a,
author = {A. Gokhale and A. V. Proskurnikov and Y. Kawano and F. Bullo},
title = {Contracting Neural Networks: {Sharp} {LMI} Conditions with Applications to Integral Control and Deep Learning},
booktitle = cdc,
year = 2026,
address = {Honolulu, Hawaii},
doi = {10.48550/arXiv.2604.00119},
note = {To appear} 
}
  4. Z. Marvi, F. Bullo, and A. G. Alleyne. Barrier Proximal Controlled Systems: Safety and Closed-Loop Contractivity. In IEEE Conf. on Decision and Control, Honolulu, Hawaii, December 2026. Note: To appear. 
    @InProceedings{ zm-fb-aga:26i,
author = {Z. Marvi and F. Bullo and A. G. Alleyne},
title = {Barrier Proximal Controlled Systems: Safety and Closed-Loop Contractivity},
booktitle = cdc,
year = 2026,
month = dec,
address = {Honolulu, Hawaii},
note = {To appear} 
}
  5. Z. Marvi, F. Bullo, and A. G. Alleyne. Safe Control of Sampled-Data Systems via Discretized Parametric Contracting Dynamics. In American Control Conference, New Orleans, LA, May 2026. Note: To appear. 
    @InProceedings{ zm-fb-aga:25x,
author = {Z. Marvi and F. Bullo and A. G. Alleyne},
title = {Safe Control of Sampled-Data Systems via Discretized Parametric Contracting Dynamics},
booktitle = acc,
year = 2026,
month = may,
address = {New Orleans, LA},
note = {To appear} 
}
  6. A. N. Montanari, F. Bullo, D. Krotov, and A. E. Motter. Energy-Based Dynamical Models for Neurocomputation, Learning, and Optimization. In American Control Conference, New Orleans, LA, May 2026. Note: To appear. 
    @InProceedings{ anm-fb-dk-aem:25s,
author = {A. N. Montanari and F. Bullo and D. Krotov and A. E. Motter},
title = {Energy-Based Dynamical Models for Neurocomputation, Learning, and Optimization},
booktitle = acc,
year = 2026,
month = may,
address = {New Orleans, LA},
doi = {10.48550/arXiv.2604.05042},
note = {To appear} 
}
  7. A. K. Musaffar, A. Gokhale, S. Zeng, R. Tadayon, X. Yan, A. K. Singh, and F. Bullo. Learning to Lie: Adversarial Attacks on Human-AI Teams and LLMs. In International Conference on Learning Representations, 2026. PDF 
    @InProceedings{ akm-ag-sz-rt-xy-aks-fb:25zz,
title = {Learning to Lie: {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},
booktitle = iclr,
year = 2026,
noaddress = {Rio de Janeiro, Brazil},
pdfopenreview = {https://openreview.net/pdf?id=Lqt5weP0Gr} 
}
  8. W. Retnaraj, S. Betteti, A. Davydov, F. Bullo, and J. Cortés. Timescale Limits of Linear-Threshold Networks. In IEEE Conf. on Decision and Control, Honolulu, Hawaii, 2026. Note: To appear. 
    @InProceedings{ wr-sb-ad-fb-jc:25i-cdc,
author = {W. Retnaraj and S. Betteti and A. Davydov and F. Bullo and J. Cort\'es},
title = {Timescale Limits of Linear-Threshold Networks},
booktitle = cdc,
year = 2026,
address = {Honolulu, Hawaii},
note = {To appear} 
}

Miscellaneous

  1. A. K. Musaffar, A. K. Singh, and F. Bullo. Detection of Adversarial Intent in Human-AI Teams Using LLMs. ICLR Workshop - From Human Cognition to AI Reasoning: Models, Methods, and Applications, April 2026. 
    @Misc{ akm-aks-fb:26h,
title = {Detection of Adversarial Intent in Human-AI Teams Using {LLMs}},
author = {A. K. Musaffar and A. K. Singh and F. Bullo},
howpublished = {ICLR Workshop - From Human Cognition to AI Reasoning: Models, Methods, and Applications},
year = 2026,
month = apr,
noaddress = {Rio de Janeiro, Brazil},
doiarxiv = {10.48550/arXiv.2603.20976} 
}

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