Non-Euclidean contraction theory for robust nonlinear stability A Davydov, S Jafarpour, F Bullo
IEEE Transactions on Automatic Control 67 (12), 6667-6681, 2022
53 * 2022 Robust Implicit Networks via Non-Euclidean Contractions S Jafarpour, A Davydov, AV Proskurnikov, F Bullo
Advances in Neural Information Processing Systems 34, 2021
34 2021 Non-Euclidean contractivity of recurrent neural networks A Davydov, AV Proskurnikov, F Bullo
2022 American Control Conference (ACC), 1527-1534, 2022
15 2022 Sparsity structure and optimality of multi-robot coverage control A Davydov, Y Diaz-Mercado
IEEE Control Systems Letters 4 (1), 13-18, 2019
12 2019 Non-Euclidean contraction theory for monotone and positive systems S Jafarpour, A Davydov, F Bullo
IEEE Transactions on Automatic Control, 2022
11 2022 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
10 2020 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
7 2023 Contracting dynamics for time-varying convex optimization A Davydov, V Centorrino, A Gokhale, G Russo, F Bullo
arXiv preprint arXiv:2305.15595, 2023
7 2023 Non-Euclidean contraction analysis of continuous-time neural networks A Davydov, AV Proskurnikov, F Bullo
arXiv preprint arXiv:2110.08298, 2021
7 2021 Euclidean contractivity of neural networks with symmetric weights V Centorrino, A Gokhale, A Davydov, G Russo, F Bullo
IEEE Control Systems Letters, 2023
6 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
6 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
6 2021 Comparative analysis of interval reachability for robust implicit and feedforward neural networks A Davydov, S Jafarpour, M Abate, F Bullo, S Coogan
2022 IEEE 61st Conference on Decision and Control (CDC), 2073-2078, 2022
3 2022 Positive competitive networks for sparse reconstruction V Centorrino, A Gokhale, A Davydov, G Russo, F Bullo
Neural Computation, 1-35, 2024
2 2024 Contractivity of Distributed Optimization and Nash Seeking Dynamics A Gokhale, A Davydov, F Bullo
IEEE Control Systems Letters, 2023
2 2023 Exponential Stability of Parametric Optimization-Based Controllers via Lur'e Contractivity A Davydov, F Bullo
arXiv preprint arXiv:2403.08159, 2024
1 2024 Retrieving -Nearest Memories with Modern Hopfield Networks A Davydov, S Jaffe, A Singh, F Bullo
Associative Memory {\&} Hopfield Networks in 2023, 2023
1 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
1 2022 Robust Training and Verification of Implicit Neural Networks: A Non-Euclidean Contractive Approach S Jafarpour, A Davydov, M Abate, F Bullo, S Coogan
ICML Workshop on Formal Verification of Machine Learning, 2022
1 2022 Low-Mobility Atmospheric Sensing via Multi-Vehicle Adaptive Coverage Control A Davydov, DW Yeo, Y Diaz-Mercado
AIAA Aviation 2020 Forum, 2821, 2020
1 2020