
V. Centorrino,
F. Bullo,
and G. Russo.
Modelling and Contractivity of NeuralSynaptic Networks with Hebbian Learning.
Automatica,
164:111636,
2024.
Keyword(s): Contraction Theory,
Neural Networks.
@Article{ vcfbgr:22k,
author = {V. Centorrino and F. Bullo and G. Russo},
title = {Modelling and Contractivity of NeuralSynaptic Networks with {Hebbian} Learning},
year = 2024,
volume = 164,
pages = 111636,
journal = automatica,
nodoi = {10.48550/arXiv.2204.05382},
doi = {10.1016/j.automatica.2024.111636},
keywords = {Contraction Theory, Neural Networks}
}

V. Centorrino,
A. Davydov,
A. Gokhale,
G. Russo,
and F. Bullo.
On Weakly Contracting Dynamics for Convex Optimization.
IEEE Control Systems Letters,
8:17451750,
2024.
Keyword(s): Contraction Theory,
Neural Networks.
@Article{ vcadaggrfb:24a,
author = {V. Centorrino and A. Davydov and A. Gokhale and G. Russo and F. Bullo},
title = {On Weakly Contracting Dynamics for Convex Optimization},
year = 2024,
volume = 8,
pages = {17451750},
journal = lcss,
keywords = {Contraction Theory, Neural Networks},
doi = {10.1109/LCSYS.2024.3414348},
arxivdoi = {10.48550/arXiv.2403.07572}
}

V. Centorrino,
A. Gokhale,
A. Davydov,
G. Russo,
and F. Bullo.
Positive Competitive Networks for Sparse Reconstruction.
Neural Computation,
36(6):1163–1197,
2024.
Keyword(s): Contraction Theory,
Neural Networks.
@Article{ vcagadgrfb:23a,
author = {V. Centorrino and A. Gokhale and A. Davydov and G. Russo and F. Bullo},
title = {Positive Competitive Networks for Sparse Reconstruction},
year = 2024,
journal = {Neural Computation},
volume = 36,
number = 6,
pages = {1163–1197},
nodoi = {10.48550/arXiv.2311.03821},
doi = {10.1162/neco_a_01657},
keywords = {Contraction Theory, Neural Networks}
}

L. Cothren,
F. Bullo,
and E. Dall'Anese.
Online Feedback Optimization and Singular Perturbation via Contraction Theory.
SIAM Journal on Control and Optimization,
August 2024.
Note: Submitted.
Keyword(s): Contraction Theory.
@Article{ lcfbeda:23g,
author = {L. Cothren and F. Bullo and E. {Dall'Anese}},
title = {Online Feedback Optimization and Singular Perturbation via Contraction Theory},
journal = sicon,
year = 2024,
month = aug,
note = "Submitted",
keywords = {Contraction Theory},
doi = {10.48550/arXiv.2310.07966}
}

O. Dalin,
R. Ofir,
E. Bar Shalom,
A. Ovseevich,
F. Bullo,
and M. Margaliot.
Verifying $k$Contraction without Computing $k$Compounds.
IEEE Transactions on Automatic Control,
69(3):14921506,
2024.
Keyword(s): Contraction Theory.
@Article{ odroebsaofbmm:22p,
author = {O. Dalin and R. Ofir and E. {Bar~Shalom} and A. Ovseevich and F. Bullo and M. Margaliot},
fullauthor = {Omri Dalin, Ron Ofir, Eyal {Bar~Shalom}, Alexander Ovseevich, R. Ofir and F. Bullo and M. Margaliot},
title = {Verifying $k$Contraction without Computing $k$Compounds},
year = 2024,
journal = tac,
volume = 69,
number = 3,
pages = {14921506},
doi = {10.1109/TAC.2023.3326058},
keywords = {Contraction Theory},
nodoi = {10.48550/arXiv.2209.01046}
}

A. Davydov and F. Bullo.
Exponential Stability of Parametric OptimizationBased Controllers via Lur'e contractivity.
IEEE Control Systems Letters,
8:12771282,
2024.
Keyword(s): Contraction Theory.
@Article{ adfb:24i,
author = {A. Davydov and F. Bullo},
title = {Exponential Stability of Parametric OptimizationBased Controllers via {Lur'e} contractivity},
journal = lcss,
year = 2024,
volume = 8,
pages = {12771282},
keywords = {Contraction Theory},
arxivdoi = {10.48550/arXiv.2403.08159},
doi = {10.1109/LCSYS.2024.3408110}
}

A. Davydov and F. Bullo.
Perspectives on Contractivity in Control, Optimization and Learning.
IEEE Control Systems Letters,
8:20872098,
2024.
Keyword(s): Contraction Theory,
Neural Networks.
@Article{ adfb:24g,
author = {A. Davydov and F. Bullo},
title = {Perspectives on Contractivity in Control, Optimization and Learning},
year = 2024,
journal = lcss,
volume = 8,
pages = {20872098},
doi = {10.1109/LCSYS.2024.3436127},
keywords = {Contraction Theory, Neural Networks}
}

A. Davydov,
A. V. Proskurnikov,
and F. Bullo.
NonEuclidean Contraction Analysis of ContinuousTime Neural Networks.
IEEE Transactions on Automatic Control,
2024.
Note: To appear.
Keyword(s): Contraction Theory,
Neural Networks.
@Article{ adavpfb:22q,
author = {A. Davydov and A. V. Proskurnikov and F. Bullo},
title = {{NonEuclidean} Contraction Analysis of ContinuousTime Neural Networks},
journal = tac,
year = 2024,
keywords = {Contraction Theory, Neural Networks},
arxivdoi = {10.48550/arXiv.2110.08298},
doi = {10.1109/TAC.2024.3422217},
note = {To appear}
}

G. De Pasquale,
K. D. Smith,
F. Bullo,
and M. E. Valcher.
Dual Seminorms, Ergodic Coefficients, and Semicontraction Theory.
IEEE Transactions on Automatic Control,
69(5):30403053,
2024.
Keyword(s): Contraction Theory.
@Article{ gdpkdsfbmev:21m,
author = {G. {De~Pasquale} and K. D. Smith and F. Bullo and M.~E. Valcher},
title = {Dual Seminorms, Ergodic Coefficients, and Semicontraction Theory},
journal = tac,
year = 2024,
volume = 69,
number = 5,
pages = {30403053},
doi = {10.1109/TAC.2023.3302788},
keywords = {Contraction Theory},
olddoi = {10.48550/arXiv.2201.03103}
}

G. DiazGarcia,
F. Bullo,
and J. R. Marden.
Strategic Coalitions in Networked Contest Games.
IEEE Transactions on Automatic Control,
August 2024.
Note: Submitted.
@Article{ gdgfbjrm:24p,
author = {G. DiazGarcia and F. Bullo and J. R. Marden},
title = {Strategic Coalitions in Networked Contest Games},
journal = tac,
year = 2024,
month = aug,
note = {Submitted}
}

Y. John,
G. DiazGarca,
X. Duan,
J. R. Marden,
and F. Bullo.
A Stochastic Surveillance Stackelberg Game: CoOptimizing Defense Placement and Patrol Strategy.
IEEE Transactions on Automatic Control,
February 2024.
Note: Submitted.
@Article{ yjgdgxdjrmfb:23q,
author = {Y. John and G. DiazGarc\'ia and X. Duan and J. R. Marden and F. Bullo},
title = {A Stochastic Surveillance {Stackelberg} Game: CoOptimizing Defense Placement and Patrol Strategy},
journal = tac,
year = 2024,
month = feb,
doi = {10.48550/arXiv.2308.14714},
note = {Submitted}
}

Z. Marvi,
F. Bullo,
and A. G. Alleyne.
Control Barrier Proximal Dynamics: A Contraction Theoretic Approach for Safety Verification.
IEEE Control Systems Letters,
8:880885,
2024.
@Article{ zmfbaga:23r,
author = {Z. Marvi and F. Bullo and A. G. Alleyne},
title = {Control Barrier Proximal Dynamics: {A} Contraction Theoretic Approach for Safety Verification},
journal = lcss,
year = 2024,
volume = 8,
pages = {880885},
doi = {10.1109/LCSYS.2024.3402188},
olddoi = {10.48550/arXiv.2309.05873}
}

R. Ofir,
F. Bullo,
and M. Margaliot.
A sufficient condition for 2contraction of a feedback interconnection.
IEEE Transactions on Automatic Control,
2024.
Note: Submitted.
Keyword(s): Contraction Theory.
@Article{ rofbmm:24q,
author = {R. Ofir and F. Bullo and M. Margaliot},
title = {A sufficient condition for 2contraction of a feedback interconnection},
year = 2024,
journal = tac,
note = {Submitted},
doi = {10.48550/arXiv.2408.12790},
keywords = {Contraction Theory}
}

A. V. Proskurnikov and F. Bullo.
Regular pairings for nonquadratic Lyapunov functions and contraction analysis.
SIAM Journal on Control and Optimization,
September 2024.
Note: Submitted.
Keyword(s): Contraction Theory.
@Article{ avpfb:22n,
author = {A. V. Proskurnikov and F. Bullo},
title = {Regular pairings for nonquadratic {Lyapunov} functions and contraction analysis},
journal = sicon,
year = 2024,
month = sep,
note = {Submitted},
keywords = {Contraction Theory},
doi = {10.48550/arXiv.2408.17350}
}

R. Yan,
X. Duan,
R. Zou,
X. He,
Z. Shi,
and F. Bullo.
Multiplayer Homicidal Chauffeur ReachAvoid Games: A Pursuit Enclosure Function Approach.
Automatica,
2024.
Note: To appear.
@Article{ ryxdrzxhzsfb:23h,
author = {R. Yan and X. Duan and R. Zou and X. He and Z. Shi and F. Bullo},
fullauthor = {rui.yan@cs.ox.ac.uk (Rui Yan), xduan@sjtu.edu.cn (Xiaoming Duan), zr20@mails.tsinghua.edu.cn (Rui Zou), hex20@mails.tsinghua.edu.cn (Xin He), szy@mail.tsinghua.edu.cn (Zongying Shi), bullo@ucsb.edu (Francesco Bullo).},
title = {Multiplayer Homicidal Chauffeur ReachAvoid Games: {A} Pursuit Enclosure Function Approach},
journal = automatica,
note = {To appear},
year = 2024,
doi = {10.48550/arXiv.2311.02389}
}

W. Ye,
F. Bullo,
N. E. Friedkin,
and A. K. Singh.
Computational Models for HumanAI Team Decision Making.
2024.
@Article{ wyfbnefaks:22w,
author = {W. Ye and F. Bullo and N. E. Friedkin and A. K. Singh},
title = {Computational Models for Human{AI} Team Decision Making},
oldtitle = {Modeling Human{AI} Team Decision Making},
nonote = {Available at \ {http://arxiv.org/abs/2201.02759}},
year = 2024,
doi = {10.48550/arXiv.2201.02759}
}

V. Centorrino,
A. Gokhale,
A. Davydov,
G. Russo,
and F. Bullo.
Biologically Plausible Neural Networks for Sparse Reconstruction: A Normative Framework.
In Workshop “Mathematics for Artificial Intelligence and Machine Learning”,
Milan, Italy,
january 2024.
Note: Oral Presentation.
Keyword(s): Contraction Theory,
Neural Networks.
@InProceedings{ vcagadgrfb:23a2,
author = {V. Centorrino and A. Gokhale and A. Davydov and G. Russo and F. Bullo},
title = {Biologically Plausible Neural Networks for Sparse Reconstruction: {A} Normative Framework},
year = 2024,
month = january,
address = {Milan, Italy},
note = {Oral Presentation},
booktitle = {Workshop “Mathematics for Artificial Intelligence and Machine Learning”},
keywords = {Contraction Theory, Neural Networks},
oldurl = {https://dec.unibocconi.eu/mathematicsartificialintelligenceandmachinelearning}
}

V. Centorrino,
A. Gokhale,
A. Davydov,
G. Russo,
and F. Bullo.
Towards a Top/Down Normative Framework for a Biologically Plausible Explanation of Neural Circuits: Application to Sparse Reconstruction Problems.
In 5th International Convention on the Mathematics of Neuroscience and AI,
Rome, Italy,
May 2024.
Keyword(s): Contraction Theory,
Neural Networks.
@InProceedings{ vcagadgrfb:23a3,
author = {V. Centorrino and A. Gokhale and A. Davydov and G. Russo and F. Bullo},
title = {Towards a Top/Down Normative Framework for a Biologically Plausible Explanation of Neural Circuits: {Application} to Sparse Reconstruction Problems},
year = 2024,
month = may,
address = {Rome, Italy},
booktitle = {5th International Convention on the Mathematics of Neuroscience and {AI}},
keywords = {Contraction Theory, Neural Networks},
oldurl = {https://www.neuromonster.org}
}

S. Jaffe,
A. Davydov,
D. Lapsekili,
A. K. Singh,
and F. Bullo.
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees.
In Advances in Neural Information Processing Systems,
2024.
Note: Submitted.
@InProceedings{ sjaddlaksfb:24c,
title = {Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees},
author = {S. Jaffe and A. Davydov and D. Lapsekili and A. K. Singh and F. Bullo},
fullauthor = {Deniz Lapsekili},
arxivurl = {https://arxiv.org/pdf/2402.08090},
doi = {10.48550/arXiv.2402.08090},
year = 2024,
booktitle = neurips,
note = {Submitted}
}

Y. John,
C. Hughes,
G. DiazGarcia,
J. Marden,
and F. Bullo.
RoSSO: A HighPerformance Python Package for Robotic Surveillance Strategy Optimization Using JAX.
In IEEE Int. Conf. on Robotics and Automation,
Yokohama, Japan,
May 2024.
Note: To appear.
Keyword(s): Robotic Surveillance.
@InProceedings{ yjchgdgjmfb:23s,
title = {{RoSSO}: {A} HighPerformance Python Package for Robotic Surveillance Strategy Optimization Using {JAX}},
author = {Y. John and C. Hughes and G. DiazGarcia and J. Marden and F. Bullo},
booktitle = icra,
address = {Yokohama, Japan},
month = may,
year = 2024,
nodoi = {missing so far},
note = {To appear},
keywords = {Robotic Surveillance},
doi = {10.48550/arXiv.2309.08742}
}

R. Marjieh,
A. Gokhale,
F. Bullo,
and T. Griffiths.
Task Allocation in Teams as a MultiArmed Bandit.
In ACM Collective Intelligence,
June 2024.
Note: Accepted for both poster and oral presentation.
@InProceedings{ rmagfbtg:24h,
author = {R. Marjieh and A. Gokhale and F. Bullo and T. Griffiths},
fullauthor = {Raja Marjieh, Anand Gokhale, Francesco Bullo and Tom Griffiths},
title = {Task Allocation in Teams as a MultiArmed Bandit},
month = jun,
year = 2024,
booktitle = {ACM Collective Intelligence},
note = {Accepted for both poster and oral presentation}
}