-
V. Centorrino,
A. Gokhale,
A. Davydov,
G. Russo,
and F. Bullo.
Euclidean Contractivity of Neural Networks with Symmetric Weights.
IEEE Control Systems Letters,
7:1724-1729,
2023.
Keyword(s): Contraction Theory,
Neural Networks.
@Article{ vc-ag-ad-gr-fb:23c,
author = {V. Centorrino and A. Gokhale and A. Davydov and G. Russo and F. Bullo},
title = {Euclidean Contractivity of Neural Networks with Symmetric Weights},
year = 2023,
journal = lcss,
volume = 7,
pages = {1724-1729},
olddoi = {10.48550/arXiv.2302.13452},
doi = {10.1109/LCSYS.2023.3278250},
keywords = {Contraction Theory, Neural Networks}
}
-
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,
February 2023.
Note: To appear.
@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,
note = {To appear},
year = 2023,
month = feb,
doi = {10.1109/TAC.2024.3442952}
}
-
J. Cheng,
G. Chen,
W. Mei,
and F. Bullo.
Multidimensional Opinion Dynamics with Heterogeneous Bounded Confidences and Random Interactions.
Automatica,
December 2023.
Note: Submitted.
@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,
note = {Submitted},
year = 2023,
month = dec
}
-
P. Cisneros-Velarde and F. Bullo.
Distributed Wasserstein Barycenters via Displacement Interpolation.
IEEE Transactions on Control of Network Systems,
10(2):785-795,
2023.
@Article{ pcv-fb:20k,
title = {Distributed {Wasserstein} Barycenters via Displacement Interpolation},
author = {P. Cisneros-Velarde and F. Bullo},
year = 2023,
journal = tcns,
volume = 10,
number = 2,
pages = {785-795},
doi = {10.1109/TCNS.2022.3210341},
pdf = {https://arxiv.org/pdf/2012.08610.pdf}
}
-
M. Coraggio,
S. Jafarpour,
F. Bullo,
and M. di Bernardo.
Minimax Flow over Acyclic Networks: Distributed Algorithms and Microgrid Application.
IEEE Transactions on Control of Network Systems,
10(2):937-946,
2023.
@Article{ mc-sj-fb-mdb:21o,
author = {M. Coraggio and S. Jafarpour and F. Bullo and M. {di~Bernardo}},
title = {Minimax Flow over Acyclic Networks: {D}istributed Algorithms and Microgrid Application},
journal = tcns,
year = 2023,
volume = 10,
number = 2,
pages = {937-946},
doi = {10.1109/TCNS.2022.3212638},
pdf = {https://arxiv.org/abs/2201.03310}
}
-
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,
June 2023.
Note: Submitted.
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 = 2023,
month = jun,
note = {Submitted},
doi = {10.48550/arXiv.2305.15595},
keywords = {Contraction Theory}
}
-
A. Davydov,
S. Jafarpour,
A. V. Proskurnikov,
and F. Bullo.
Non-Euclidean Monotone Operator Theory and Applications.
Journal of Machine Learning Research,
June 2023.
Note: Submitted.
Keyword(s): Contraction Theory,
Neural Networks.
@Article{ ad-sj-avp-fb:23b,
author = {A. Davydov and S. Jafarpour and A. V. Proskurnikov and F. Bullo},
title = {Non-{Euclidean} Monotone Operator Theory and Applications},
journal = jmlr,
year = 2023,
month = jun,
note = {Submitted},
doi = {10.48550/arXiv.2303.11273},
keywords = {Contraction Theory, Neural Networks}
}
-
R. Delabays and F. Bullo.
Semicontraction and Synchronization of Kuramoto-Sakaguchi Oscillator Networks.
IEEE Control Systems Letters,
7:1566-1571,
2023.
Keyword(s): Contraction Theory,
Oscillator Networks.
@Article{ rd-fb:22s,
author = {R. Delabays and F. Bullo},
title = {Semicontraction and Synchronization of {Kuramoto}-{Sakaguchi} Oscillator Networks},
journal = lcss,
year = 2023,
volume = 7,
pages = {1566-1571},
doi = {10.1109/LCSYS.2023.3275169},
olddoi = {10.48550/arXiv.2303.10127},
keywords = {Contraction Theory, Oscillator Networks}
}
-
G. Diaz-Garcìa,
F. Bullo,
and J. R. Marden.
Distributed Markov chain-based Strategies for Multi-Agent Robotic Surveillance.
IEEE Control Systems Letters,
7:2527-2532,
2023.
@Article{ gdg-fb-jrm:22v,
title = {Distributed {Markov} chain-based Strategies for Multi-Agent Robotic Surveillance},
author = {G. Diaz-Garc\'ia and F. Bullo and J. R. Marden},
journal = lcss,
year = 2023,
doi = {10.1109/LCSYS.2023.3288492},
volume = 7,
pages = {2527-2532}
}
-
A. Gokhale,
A. Davydov,
and F. Bullo.
Contractivity of Distributed Optimization and Nash Seeking Dynamics.
IEEE Control Systems Letters,
7:3896-3901,
2023.
@Article{ ag-ad-fb:23o,
author = {A. Gokhale and A. Davydov and F. Bullo},
title = {Contractivity of Distributed Optimization and {Nash} Seeking Dynamics},
journal = lcss,
year = 2023,
volume = 7,
pages = {3896-3901},
doi = {10.1109/LCSYS.2023.3341987},
olddoi = {10.48550/arXiv.2309.05873}
}
-
E. Y. Huang,
D. Paccagnan,
W. Mei,
and F. Bullo.
Assign and Appraise: Achieving Optimal Performance in Collaborative Teams.
IEEE Transactions on Automatic Control,
68(3):1614-1627,
2023.
@Article{ eyh-dp-wm-fb:19h,
author = {E. Y. Huang and D. Paccagnan and W. Mei and F. Bullo},
title = {Assign and Appraise: {A}chieving Optimal Performance in Collaborative Teams},
journal = tac,
year = 2023,
doi = {10.1109/TAC.2022.3156879},
volume = 68,
number = 3,
pages = {1614-1627},
pdf = {https://arxiv.org/pdf/2008.09817.pdf}
}
-
S. Jafarpour,
A. Davydov,
and F. Bullo.
Non-Euclidean Contraction Theory for Monotone and Positive Systems.
IEEE Transactions on Automatic Control,
68(9):5653-5660,
2023.
Keyword(s): Contraction Theory,
Neural Networks.
@Article{ sj-ad-fb:20r,
author = {S. Jafarpour and A. Davydov and F. Bullo},
title = {{Non-Euclidean} Contraction Theory for Monotone and Positive Systems},
journal = tac,
year = 2023,
volume = 68,
number = 9,
pages = {5653-5660},
doi = {10.1109/TAC.2022.3224094},
pdf = {https://arxiv.org/pdf/2104.01321.pdf},
keywords = {Contraction Theory, Neural Networks}
}
-
W. Liu,
J. Sun,
G. Wang,
F. Bullo,
and J. Chen.
Data-Driven Resilient Model Predictive Control under Denial-of-Service.
IEEE Transactions on Automatic Control,
68(8):4722-4737,
2023.
@Article{ wl-js-gw-fb-jc:21c,
title = {Data-Driven Resilient Model Predictive Control under Denial-of-Service},
author = {W. Liu and J. Sun and G. Wang and F. Bullo and J. Chen},
fullauthor = {Wenjie Liu and Jian Sun and Gang Wang and Francesco Bullo and Jie Chen},
year = 2023,
journal = tac,
volume = 68,
number = 8,
pages = {4722-4737},
doi = {10.1109/TAC.2022.3209399}
}
-
W. Liu,
J. Sun,
G. Wang,
F. Bullo,
and J. Chen.
Data-Driven Self-triggered Control via Trajectory Prediction.
IEEE Transactions on Automatic Control,
68(11):6951-6958,
2023.
@Article{ wl-js-gw-fb-jc:22e,
title = {Data-Driven Self-triggered Control via Trajectory Prediction},
author = {W. Liu and J. Sun and G. Wang and F. Bullo and J. Chen},
fullauthor = {Wenjie Liu and Jian Sun and Gang Wang and Francesco Bullo and Jie Chen},
year = 2023,
journal = tac,
volume = 68,
number = 11,
pages = {6951-6958},
doi = {10.1109/TAC.2023.3244116}
}
-
W. Liu,
J. Sun,
G. Wang,
F. Bullo,
and J. Chen.
Learning Robust Data-based LQG Controllers from Noisy Data.
IEEE Transactions on Automatic Control,
2023.
Note: To appear.
@Article{ wl-js-gw-fb-jc:23e,
title = {Learning Robust Data-based {LQG} Controllers from Noisy Data},
author = {W. Liu and J. Sun and G. Wang and F. Bullo and J. Chen},
year = 2023,
journal = tac,
note = {To appear},
arxivdoi = {10.48550/arXiv.2305.01417},
doi = {10.1109/TAC.2024.3409749}
}
-
A. V. Proskurnikov,
A. Davydov,
and F. Bullo.
The Yakubovich S-Lemma Revisited: Stability and Contractivity in Non-Euclidean Norms.
SIAM Journal on Control and Optimization,
61(4):1955-1978,
2023.
Keyword(s): Contraction Theory.
@Article{ avp-ad-fb:22a,
author = {A. V. Proskurnikov and A. Davydov and F. Bullo},
title = {The {Yakubovich} {S-Lemma} Revisited: {Stability} and Contractivity in Non-{Euclidean} Norms},
journal = sicon,
doi = {10.1137/22M1512600},
volume = 61,
number = 4,
pages = {1955-1978},
year = 2023,
keywords = {Contraction Theory},
olddoi = {10.48550/arXiv.2207.14579}
}
-
C. Ravazzi,
F. Bullo,
and F. Dabbene.
Unveiling oligarchy in influence networks from partial information.
IEEE Transactions on Control of Network Systems,
10(3):1279-1290,
2023.
@Article{ cr-fb-fd:21b,
author = {C. Ravazzi and F. Bullo and F. Dabbene},
title = {Unveiling oligarchy in influence networks from partial information},
journal = tcns,
year = 2023,
doi = {10.1109/TCNS.2022.3225299},
volume = 10,
number = 3,
pages = {1279-1290}
}
-
K. D. Smith and F. Bullo.
Contractivity of the Method of Successive Approximations for Optimal Control.
IEEE Control Systems Letters,
7:919-924,
2023.
Keyword(s): Contraction Theory.
@Article{ kds-fb:22o,
author = {K. D. Smith and F. Bullo},
title = {Contractivity of the Method of Successive Approximations for Optimal Control},
journal = lcss,
year = 2023,
volume = 7,
pages = {919-924},
keywords = {Contraction Theory},
arxivdoi = {10.48550/arXiv.2209.10046},
doi = {10.1109/LCSYS.2022.3228723}
}
-
K. D. Smith and F. Bullo.
Convex Optimization of the Basic Reproduction Number.
IEEE Transactions on Automatic Control,
68(7):4398-4404,
2023.
@Article{ kds-fb:21i,
title = {Convex Optimization of the Basic Reproduction Number},
author = {K. D. Smith and F. Bullo},
journal = tac,
year = 2023,
volume = 68,
number = 7,
pages = {4398-4404},
doi = {10.1109/TAC.2022.3212012}
}
-
Y. Tian,
L. Wang,
and F. Bullo.
How Social Influence affects the Wisdom of Crowds in Influence Networks.
SIAM Journal on Control and Optimization,
61(4):2334-2357,
2023.
@Article{ yt-lw-fb:20q,
author = {Y. Tian and L. Wang and F. Bullo},
title = {How Social Influence affects the Wisdom of Crowds in Influence Networks},
journal = sicon,
year = 2023,
doi = {10.1137/22M1492751},
volume = 61,
number = 4,
pages = {2334-2357},
oldurl = {https://arxiv.org/abs/2204.13610}
}
-
V. Centorrino,
A. Gokhale,
A. Davydov,
G. Russo,
and F. Bullo.
Contractivity of Symmetric Neural Networks for Non-negative Sparse Approximation.
In CCS/Italy 2023 Italian Regional Conference on Complex Systems,
Naples, Italy,
october 2023.
Note: Poster Presentation.
Keyword(s): Contraction Theory,
Neural Networks.
@InProceedings{ vc-ag-ad-gr-fb:23a1,
author = {V. Centorrino and A. Gokhale and A. Davydov and G. Russo and F. Bullo},
title = {Contractivity of Symmetric Neural Networks for Non-negative Sparse Approximation},
year = 2023,
month = october,
address = {Naples, Italy},
note = {Poster Presentation},
booktitle = {{CCS/Italy} 2023 Italian Regional Conference on Complex Systems},
keywords = {Contraction Theory, Neural Networks},
oldurl = {https://italy.cssociety.org/index.php/2023/05/23/ccs-italy-conference-2023/}
}
-
A. Davydov,
S. Jaffe,
A. K. Singh,
and F. Bullo.
Retrieving $k$-Nearest Memories with Modern Hopfield Networks.
In 2023 NEURIPS Workshop on Associative Memory and Hopfield Networks,
December 2023.
@InProceedings{ ad-sj-aks-fb:23w,
title = {Retrieving $k$-Nearest Memories with Modern {Hopfield} Networks},
author = {A. Davydov and S. Jaffe and A. K. Singh and F. Bullo},
month = dec,
year = 2023,
booktitle = {2023 NEURIPS Workshop on Associative Memory and Hopfield Networks}
}
-
G. Diaz-Garcìa,
F. Bullo,
and J. R. Marden.
Beyond the Enemy-of-my-Enemy Alliances: Coalitions in Networked Contest Games.
In IEEE Conf. on Decision and Control,
Singapore,
December 2023.
@InProceedings{ gdg-fb-jrm:23j,
author = {G. Diaz-Garc\'ia and F. Bullo and J. R. Marden},
title = {Beyond the "Enemy-of-my-Enemy" Alliances: {Coalitions} in Networked Contest Games},
year = 2023,
month = dec,
booktitle = cdc,
address = {Singapore},
doi = {10.1109/CDC49753.2023.10383807}
}
-
S. Jaffe,
A. K. Singh,
and F. Bullo.
IDKM: Memory Efficient Neural Network Quantization via Implicit Differentiable $k$-Means.
In 2023 ICLR Workshop on Sparsity in Neural Networks,
May 2023.
Keyword(s): Neural Networks.
@InProceedings{ sj-aks-fb:22y,
author = {S. Jaffe and A. K. Singh and F. Bullo},
title = {{IDKM:} {Memory} Efficient Neural Network Quantization via Implicit Differentiable $k$-Means},
year = 2023,
month = may,
booktitle = {2023 ICLR Workshop on Sparsity in Neural Networks},
nodoi = {10.48550/arXiv.2208.03889},
keywords = {Neural Networks},
oldurl = {https://icml.cc/virtual/2022/workshop/13473}
}
-
F. Seccamonte,
A. K. Singh,
and F. Bullo.
Inference of Infrastructure Network Flows via Physics-Inspired Implicit Neural Networks.
In IEEE Conf. on Control Technology and Applications,
Bridgetown, Barbados,
August 2023.
Keyword(s): Neural Networks.
@InProceedings{ fs-fb-aks:22j,
title = {Inference of Infrastructure Network Flows via Physics-Inspired Implicit Neural Networks},
author = {F. Seccamonte and A. K. Singh and F. Bullo},
booktitle = ccta,
address = {Bridgetown, Barbados},
month = aug,
year = 2023,
keywords = {Neural Networks},
doi = {10.1109/CCTA54093.2023.10252477}
}