Publications of S. Jafarpour

Articles in journal or book chapters

1. A. Davydov, S. Jafarpour, A. V. Proskurnikov, and F. Bullo. Non-Euclidean Monotone Operator Theory and Applications. Journal of Machine Learning Research, 25(307):1-33, 2024. Keyword(s): Contraction Theory, Neural Networks. [bibtex-entry]
2. 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. [bibtex-entry]
3. 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. [bibtex-entry]
4. P. Cisneros-Velarde, S. Jafarpour, and F. Bullo. A Contraction Analysis of Primal-Dual Dynamics in Distributed and Time-Varying Implementations. IEEE Transactions on Automatic Control, 67(7):3560-3566, 2022. Keyword(s): Contraction Theory. [bibtex-entry]
5. P. Cisneros-Velarde, S. Jafarpour, and F. Bullo. Contraction Theory for Dynamical Systems on Hilbert Spaces. IEEE Transactions on Automatic Control, 67(12):6710-6715, 2022. Keyword(s): Contraction Theory. [bibtex-entry]
6. A. Davydov, S. Jafarpour, and F. Bullo. Non-Euclidean Contraction Theory for Robust Nonlinear Stability. IEEE Transactions on Automatic Control, 67(12):6667-6681, 2022. Keyword(s): Contraction Theory. [bibtex-entry]
7. R. Delabays, S. Jafarpour, and F. Bullo. Multistabilities and Anomalies in Oscillator Models of Lossy Power Grids. Nature Communications, 13:5238, 2022. [bibtex-entry]
8. S. Jafarpour, P. Cisneros-Velarde, and F. Bullo. Weak and Semi-Contraction for Network Systems and Diffusively-Coupled Oscillators. IEEE Transactions on Automatic Control, 67(3):1285-1300, 2022. Keyword(s): Contraction Theory. [bibtex-entry]
9. S. Jafarpour, E. Y. Huang, K. D. Smith, and F. Bullo. Flow and Elastic Networks on the $n$-Torus: Geometry, Analysis and Computation. SIAM Review, 64(1):59-104, 2022. [bibtex-entry]
10. S. Jafarpour, V. Purba, S. V. Dhople, B. B. Johnson, and F. Bullo. Singular Perturbation and Small-signal Stability for Inverter Networks. IEEE Transactions on Control of Network Systems, 9(2):979-992, 2022. [bibtex-entry]
11. K. D. Smith, S. Jafarpour, and F. Bullo. Transient Stability of Droop-Controlled Inverter Networks with Operating Constraints. IEEE Transactions on Automatic Control, 67(2):633-645, 2022. [bibtex-entry]
12. K. D. Smith, S. Jafarpour, A. Swami, and F. Bullo. Topology Inference with Multivariate Cumulants: The Möbius Inference Algorithm. IEEE/ACM Transactions on Networking, 30(5):2102-2116, 2022. [bibtex-entry]
13. 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]
14. V. Purba, B. B. Johnson, S. Jafarpour, F. Bullo, and S. V. Dhople. Dynamic Aggregation of Grid-tied Three-phase Inverters. IEEE Transactions on Power Systems, 35(2):1520-1530, 2020. [bibtex-entry]
15. M. George, S. Jafarpour, and F. Bullo. Markov Chains with Maximum Entropy for Robotic Surveillance. IEEE Transactions on Automatic Control, 64(4):1566-1580, 2019. [bibtex-entry]
16. S. Jafarpour and F. Bullo. Synchronization of Kuramoto Oscillators via Cutset Projections. IEEE Transactions on Automatic Control, 64(7):2830-2844, 2019. [bibtex-entry]
17. S. Jafarpour, E. Y. Huang, and F. Bullo. Synchronization of Kuramoto oscillators: Inverse Taylor Expansions. SIAM Journal on Control and Optimization, 57(5):3388-3412, 2019. [bibtex-entry]
18. V. Purba, B. Johnson, M. Rodriguez, S. Jafarpour, F. Bullo, and S. V. Dhople. Reduced-order Aggregate Model for Parallel-connected Single-phase Inverters. IEEE Transactions on Energy Conversion, 34(2):824-837, 2019. [bibtex-entry]

Conference articles

1. A. Davydov, S. Jafarpour, M. Abate, F. Bullo, and S. Coogan. Comparative Analysis of Interval Reachability for Robust Implicit and Feedforward Neural Networks. In IEEE Conf. on Decision and Control, Cancun, Mexico, 2022. Keyword(s): Contraction Theory, Neural Networks. [bibtex-entry]
2. A. Davydov, S. Jafarpour, A. V. Proskurnikov, and F. Bullo. Non-Euclidean Monotone Operator Theory with Applications to Recurrent Neural Networks. In IEEE Conf. on Decision and Control, Cancun, Mexico, December 2022. Keyword(s): Contraction Theory, Neural Networks. [bibtex-entry]
3. S. Jafarpour, M. Abate, A. Davydov, F. Bullo, and S. Coogan. Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive Approach. In Learning for Dynamics and Control Conference, June 2022. Keyword(s): Contraction Theory, Neural Networks. [bibtex-entry]
4. S. Jafarpour, A. Davydov, M. Abate, F. Bullo, and S. Coogan. Robust Training and Verification of Implicit Neural Networks: A Non-Euclidean Contractive Approach. In ICML Workshop on Formal Verification of Machine Learning, July 2022. Keyword(s): Contraction Theory. [bibtex-entry]
5. 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]
6. S. Jafarpour, A. Davydov, A. V. Proskurnikov, and F. Bullo. Robust Implicit Networks via Non-Euclidean Contractions. In Advances in Neural Information Processing Systems, volume 34, pages 9857--9868, December 2021. Keyword(s): Contraction Theory, Neural Networks. [bibtex-entry]
7. 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]
8. E. Y. Huang, S. Jafarpour, and F. Bullo. Synchronization of Coupled Oscillators: The Taylor Expansion of the Inverse Kuramoto Map. In IEEE Conf. on Decision and Control, Miami, USA, pages 5340-5345, December 2018. [bibtex-entry]
9. V. Purba, S. V. Dhople, S. Jafarpour, F. Bullo, and B. B. Johnson. Network-cognizant Model Reduction of Grid-tied Three-phase Inverters. In Allerton Conf. on Communications, Control and Computing, October 2017. [bibtex-entry]
10. V. Purba, S. Jafarpour, B. B. Johnson, F. Bullo, and S. V. Dhople. Reduced-order Structure-preserving Model for Parallel-connected Three-phase Grid-tied Inverters. In IEEE Workshop on Control and Modeling for Power Electronics, Stanford, USA, July 2017. [bibtex-entry]

Miscellaneous

1. S. Jafarpour, P. Cisneros-Velarde, and F. Bullo. Weak and Semi-Contraction Theory with Application to Network Systems, 2020. Note: ArXiv e-print. Keyword(s): Contraction Theory. [bibtex-entry]
2. E. Y. Huang, S. Jafarpour, and F. Bullo. Synchronization of Coupled Oscillators: The Taylor Expansion of the Inverse Kuramoto Map, 2018. Note: Extended version including proofs.[bibtex-entry]