| Non-Euclidean contraction theory for robust nonlinear stability A Davydov, S Jafarpour, F Bullo IEEE Transactions on Automatic Control 67 (12), 6667-6681, 2022 | 70* | 2022 |
| Robust Implicit Networks via Non-Euclidean Contractions S Jafarpour, A Davydov, AV Proskurnikov, F Bullo Advances in Neural Information Processing Systems 34, 2021 | 45 | 2021 |
| Non-Euclidean contractivity of recurrent neural networks A Davydov, AV Proskurnikov, F Bullo 2022 American Control Conference (ACC), 1527-1534, 2022 | 19 | 2022 |
| Non-Euclidean contraction theory for monotone and positive systems S Jafarpour, A Davydov, F Bullo IEEE Transactions on Automatic Control 68 (9), 5653-5660, 2022 | 15 | 2022 |
| Contracting dynamics for time-varying convex optimization A Davydov, V Centorrino, A Gokhale, G Russo, F Bullo arXiv e-prints, arXiv: 2305.15595, 2023 | 13 | 2023 |
| Pursuer coordination in multi-player reach-avoid games through control barrier functions A Davydov, P Rivera-Ortiz, Y Diaz-Mercado IEEE Control Systems Letters 5 (6), 1910-1915, 2020 | 13 | 2020 |
| Sparsity structure and optimality of multi-robot coverage control A Davydov, Y Diaz-Mercado IEEE Control Systems Letters 4 (1), 13-18, 2019 | 13 | 2019 |
| Non-Euclidean contraction analysis of continuous-time neural networks A Davydov, AV Proskurnikov, F Bullo IEEE Transactions on Automatic Control, 2024 | 11 | 2024 |
| The Yakubovich S-Lemma revisited: Stability and contractivity in non-Euclidean norms AV Proskurnikov, A Davydov, F Bullo SIAM Journal on Control and Optimization 61 (4), 1955-1978, 2023 | 11 | 2023 |
| Euclidean contractivity of neural networks with symmetric weights V Centorrino, A Gokhale, A Davydov, G Russo, F Bullo IEEE Control Systems Letters 7, 1724-1729, 2023 | 11 | 2023 |
| Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive Approach S Jafarpour, M Abate, A Davydov, F Bullo, S Coogan Learning for Dynamics and Control Conference, 2022 | 10 | 2022 |
| From contraction theory to fixed point algorithms on Riemannian and non-Euclidean spaces F Bullo, P Cisneros-Velarde, A Davydov, S Jafarpour 2021 60th IEEE Conference on Decision and Control (CDC), 2923-2928, 2021 | 9 | 2021 |
| Time-varying convex optimization: A contraction and equilibrium tracking approach A Davydov, V Centorrino, A Gokhale, G Russo, F Bullo arXiv preprint arXiv:2305.15595, 2023 | 6 | 2023 |
| Exponential stability of parametric optimization-based controllers via Lur’e contractivity A Davydov, F Bullo IEEE Control Systems Letters, 2024 | 5 | 2024 |
| Positive competitive networks for sparse reconstruction V Centorrino, A Gokhale, A Davydov, G Russo, F Bullo Neural Computation 36 (6), 1163-1197, 2024 | 5 | 2024 |
| Perspectives on contractivity in control, optimization, and learning A Davydov, F Bullo IEEE Control Systems Letters, 2024 | 4 | 2024 |
| Non-Euclidean monotone operator theory and applications A Davydov, S Jafarpour, AV Proskurnikov, F Bullo Journal of Machine Learning Research 25 (307), 1-33, 2024 | 3 | 2024 |
| Contractivity of distributed optimization and Nash seeking dynamics A Gokhale, A Davydov, F Bullo IEEE Control Systems Letters 7, 3896-3901, 2023 | 3 | 2023 |
| Retrieving -Nearest Memories with Modern Hopfield Networks A Davydov, S Jaffe, A Singh, F Bullo Associative Memory {\&} Hopfield Networks in 2023, 2023 | 3 | 2023 |
| Non-Euclidean monotone operator theory with applications to recurrent neural networks A Davydov, S Jafarpour, AV Proskurnikov, F Bullo 2022 IEEE 61st Conference on Decision and Control (CDC), 6332-6337, 2022 | 3 | 2022 |
Francesco BulloProfessor of Mechanical Engineering, UC Santa BarbaraVerified email at ucsb.edu
