1. P. Cisneros-Velarde and F. Bullo. A Network Formation Game for the Emergence of Hierarchies. PLoS One, 16:1-26, 08 2021. [bibtex-entry]



2. 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. [bibtex-entry]



3. 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. [bibtex-entry]



4. 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. [bibtex-entry]



5. 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. [bibtex-entry]



6. N. E. Friedkin, A. V. Proskurnikov, and F. Bullo. Group Dynamics on Multidimensional Attitudes. Social Networks, 65:157-167, 2021. [bibtex-entry]

1. 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. [bibtex-entry]



2. 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. [bibtex-entry]



3. 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. [bibtex-entry]

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