-
P. Cisneros-Velarde and F. Bullo.
A Network Formation Game for the Emergence of Hierarchies.
PLoS One,
16:1-26,
08 2021.
@Article{ pcv-fb:19n,
author = {P. Cisneros-Velarde and F. Bullo},
title = {A Network Formation Game for the Emergence of Hierarchies},
journal = plosone,
year = 2021,
month = 08,
volume = 16,
pages = {1-26},
doi = {10.1371/journal.pone.0255990},
oldnote = {Jan 2020 submitted to Games and Economic Behavior, Jul 2020 to Theoretical Economics, then "International Journal of Game Theory" - finally plos one},
pdf = {https://arxiv.org/pdf/2001.04644.pdf}
}
-
P. Cisneros-Velarde,
K. S. Chan,
and F. Bullo.
Polarization and Fluctuations in Signed Social Networks.
IEEE Transactions on Automatic Control,
66(8):3789-3793,
2021.
@Article{ pcv-ksc-fb:18p,
author = {P. Cisneros-Velarde and K. S. Chan and F. Bullo},
title = {Polarization and Fluctuations in Signed Social Networks},
journal = tac,
year = 2021,
volume = 66,
number = 8,
pages = {3789-3793},
doi = {10.1109/TAC.2020.3024967},
pdf = {https://arxiv.org/pdf/1902.00658.pdf}
}
-
X. Duan and F. Bullo.
Markov Chain-Based Stochastic Strategies for Robotic Surveillance.
Annual Review of Control, Robotics, and Autonomous Systems,
4:243-264,
2021.
Keyword(s): Robotic Networks.
@Article{ xd-fb:20a,
author = {X. Duan and F. Bullo},
title = {Markov Chain-Based Stochastic Strategies for Robotic Surveillance},
journal = arcras,
volume = 4,
pages = {243-264},
year = 2021,
doi = {10.1146/annurev-control-071520-120123},
pdf = {http://motion.me.ucsb.edu/pdf/2020a-db.pdf},
keywords = {Robotic Networks}
}
-
X. Duan,
S. Jafarpour,
and F. Bullo.
Graph-Theoretic Stability Conditions for Metzler Matrices and Monotone Systems.
SIAM Journal on Control and Optimization,
59(5):3447-3471,
2021.
@Article{ xd-sj-fb:19f,
author = {X. Duan and S. Jafarpour and F. Bullo},
title = {Graph-Theoretic Stability Conditions for {Metzler} Matrices and Monotone Systems},
journal = sicon,
volume = 59,
number = 5,
pages = {3447-3471},
year = 2021,
doi = {10.1137/20M131802X},
pdf = {https://arxiv.org/pdf/1905.05868.pdf}
}
-
X. Duan,
D. Paccagnan,
and F. Bullo.
Stochastic Strategies for Robotic Surveillance as Stackelberg Games.
IEEE Transactions on Control of Network Systems,
8(2):769-780,
2021.
Keyword(s): Robotic Networks.
@Article{ xd-dp-fb:19b,
author = {X. Duan and D. Paccagnan and F. Bullo},
title = {Stochastic Strategies for Robotic Surveillance as {Stackelberg} Games},
journal = tcns,
volume = 8,
number = 2,
pages = {769-780},
year = 2021,
pdf = {http://arxiv.org/pdf/2011.07604},
doi = {10.1109/TCNS.2021.3058932},
keywords = {Robotic Networks}
}
-
N. E. Friedkin,
A. V. Proskurnikov,
and F. Bullo.
Group Dynamics on Multidimensional Attitudes.
Social Networks,
65:157-167,
2021.
@Article{ nef-avp-fb:19l,
author = {N. E. Friedkin and A. V. Proskurnikov and F. Bullo},
title = {Group Dynamics on Multidimensional Attitudes},
journal = {Social Networks},
volume = 65,
pages = "157-167",
year = 2021,
doi = "10.1016/j.socnet.2020.12.009",
pdf = {http://motion.me.ucsb.edu/pdf/2019l-fpb.pdf}
}
-
F. Bullo,
P. Cisneros-Velarde,
A. Davydov,
and S. Jafarpour.
From Contraction Theory to Fixed Point Algorithms on Riemannian and non-Euclidean Spaces.
In IEEE Conf. on Decision and Control,
December 2021.
Keyword(s): Contraction Theory.
@InProceedings{ fb-pcv-ad-sj:21e,
author = {F. Bullo and P. Cisneros-Velarde and A. Davydov and S. Jafarpour},
title = {From Contraction Theory to Fixed Point Algorithms on {Riemannian} and non-{Euclidean} Spaces},
year = 2021,
month = dec,
booktitle = cdc,
nonote = {(Invited Tutorial Session)},
noaddress = {Miami, USA},
pdf = {https://arxiv.org/pdf/2110.03623.pdf},
doi = {10.1109/CDC45484.2021.9682883},
keywords = {Contraction Theory}
}
-
S. Jafarpour,
A. Davydov,
A. V. Proskurnikov,
and F. Bullo.
Robust Implicit Networks via Non-Euclidean Contractions.
In Advances in Neural Information Processing Systems,
December 2021.
Keyword(s): Contraction Theory,
Neural Networks.
@InProceedings{ sj-ad-avp-fb:21f,
author = {S. Jafarpour and A. Davydov and A. V. Proskurnikov and F. Bullo},
title = {Robust Implicit Networks via Non-{Euclidean} Contractions},
year = 2021,
month = dec,
booktitle = neurips,
oldurl = {http://arxiv.org/abs/2106.03194},
pdf = {http://arxiv.org/abs/2106.03194.pdf},
doi = {10.48550/arXiv.2106.03194},
otherurl = {https://openreview.net/forum?id=SwfsoPuGYku},
keywords = {Contraction Theory, Neural Networks}
}
-
A. Silva,
F. Kocayusufoglu,
S. Jafarpour,
F. Bullo,
A. Swami,
and A. K. Singh.
Combining Physics and Machine Learning for Network Flow Estimation.
In International Conference on Learning Representations,
Online,
May 2021.
@InProceedings{ as-fk-sj-fb-as-aks:20n,
author = {A. Silva and F. Kocayusufoglu and S. Jafarpour and F. Bullo and A. Swami and A. K. Singh},
fullauthor = {Arlei Silva, Furkan Kocayusufoglu, Saber Jafarpour, Francesco Bullo, Ananthram Swami, Ambuj Singh},
title = {Combining Physics and Machine Learning for Network Flow Estimation},
booktitle = iclr,
year = 2021,
month = may,
pdf = {http://motion.me.ucsb.edu/pdf/2020n-skjbss.pdf},
address = {Online}
}