Alexander Davydov

45 papers A* 2C 3Journal 36Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Incremental Input-to-State Stability and Equilibrium Tracking for Stochastic Contracting Dynamics. CoRR Yu Kawano, Simone Betteti, Alexander Davydov, Francesco Bullo
2026	J	`jnl`	Learning Certified Neural Network Controllers Using Contraction and Interval Analysis. CoRR Akash Harapanahalli, Samuel Coogan, Alexander Davydov
2025	J	`jnl`	First, Learn What You Don't Know: Active Information Gathering for Driving at the Limits of Handling. IEEE Robotics Autom. Lett. Alexander Davydov, Franck Djeumou, Marcus Greiff, Makoto Suminaka, Michael Thompson, John K. Subosits, Thomas Lew
2025	J	`jnl`	Non-Euclidean Contraction Analysis of Continuous-Time Neural Networks. IEEE Trans. Autom. Control. Alexander Davydov, Anton V. Proskurnikov, Francesco Bullo
2025	J	`jnl`	Time-Varying Convex Optimization: A Contraction and Equilibrium Tracking Approach. IEEE Trans. Autom. Control. Alexander Davydov, Veronica Centorrino, Anand Gokhale, Giovanni Russo, Francesco Bullo
2024	J	`jnl`	Exponential Stability of Parametric Optimization-Based Controllers via Lur'e Contractivity. CoRR Alexander Davydov, Francesco Bullo
2024	J	`jnl`	Exponential Stability of Parametric Optimization-Based Controllers via Lur'e Contractivity. IEEE Control. Syst. Lett. Alexander Davydov, Francesco Bullo
2024	J	`jnl`	First, Learn What You Don't Know: Active Information Gathering for Driving at the Limits of Handling. CoRR Alexander Davydov, Franck Djeumou, Marcus Greiff, Makoto Suminaka, Michael Thompson, John K. Subosits, Thomas Lew
2024	A*	`conf`	Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees. NeurIPS Sean Jaffe, Alexander Davydov, Deniz Lapsekili, Ambuj K. Singh, Francesco Bullo
2024	J	`jnl`	Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees. CoRR Sean Jaffe, Alexander Davydov, Deniz Lapsekili, Ambuj K. Singh, Francesco Bullo
2024	J	`jnl`	Non-Euclidean Monotone Operator Theory and Applications. J. Mach. Learn. Res. Alexander Davydov, Saber Jafarpour, Anton V. Proskurnikov, Francesco Bullo
2024	J	`jnl`	On Weakly Contracting Dynamics for Convex Optimization. IEEE Control. Syst. Lett. Veronica Centorrino, Alexander Davydov, Anand Gokhale, Giovanni Russo, Francesco Bullo
2024	J	`jnl`	Perspectives on Contractivity in Control, Optimization, and Learning. CoRR Alexander Davydov, Francesco Bullo
2024	J	`jnl`	Perspectives on Contractivity in Control, Optimization, and Learning. IEEE Control. Syst. Lett. Alexander Davydov, Francesco Bullo
2024	J	`jnl`	Positive Competitive Networks for Sparse Reconstruction. Neural Comput. Veronica Centorrino, Anand Gokhale, Alexander Davydov, Giovanni Russo, Francesco Bullo
2024	J	`jnl`	Proximal Gradient Dynamics: Monotonicity, Exponential Convergence, and Applications. CoRR Anand Gokhale, Alexander Davydov, Francesco Bullo
2024	J	`jnl`	Proximal Gradient Dynamics: Monotonicity, Exponential Convergence, and Applications. IEEE Control. Syst. Lett. Anand Gokhale, Alexander Davydov, Francesco Bullo
2023	J	`jnl`	Contracting Dynamics for Time-Varying Convex Optimization. CoRR Alexander Davydov, Veronica Centorrino, Anand Gokhale, Giovanni Russo, Francesco Bullo
2023	J	`jnl`	Contractivity of Distributed Optimization and Nash Seeking Dynamics. CoRR Anand Gokhale, Alexander Davydov, Francesco Bullo
2023	J	`jnl`	Contractivity of Distributed Optimization and Nash Seeking Dynamics. IEEE Control. Syst. Lett. Anand Gokhale, Alexander Davydov, Francesco Bullo
2023	J	`jnl`	Euclidean Contractivity of Neural Networks With Symmetric Weights. IEEE Control. Syst. Lett. Veronica Centorrino, Anand Gokhale, Alexander Davydov, Giovanni Russo, Francesco Bullo
2023	J	`jnl`	Euclidean Contractivity of Neural Networks with Symmetric Weights. CoRR Veronica Centorrino, Anand Gokhale, Alexander Davydov, Giovanni Russo, Francesco Bullo
2023	J	`jnl`	Non-Euclidean Contraction Theory for Monotone and Positive Systems. IEEE Trans. Autom. Control. Saber Jafarpour, Alexander Davydov, Francesco Bullo
2023	C	`conf`	On the Equivalence of Multi-Agent 2D Coverage Control and Leader-Follower Consensus Network. ACC Xiaotian Xu, Alexander Davydov, Yancy Diaz-Mercado
2023	J	`jnl`	Positive Competitive Networks for Sparse Reconstruction. CoRR Veronica Centorrino, Anand Gokhale, Alexander Davydov, Giovanni Russo, Francesco Bullo
2023	J	`jnl`	The Yakubovich S-Lemma Revisited: Stability and Contractivity in Non-Euclidean Norms. SIAM J. Control. Optim. Anton V. Proskurnikov, Alexander Davydov, Francesco Bullo
2022	—	`conf`	Comparative Analysis of Interval Reachability for Robust Implicit and Feedforward Neural Networks. CDC Alexander Davydov, Saber Jafarpour, Matthew Abate, Francesco Bullo, Samuel Coogan
2022	J	`jnl`	Comparative Analysis of Interval Reachability for Robust Implicit and Feedforward Neural Networks. CoRR Alexander Davydov, Saber Jafarpour, Matthew Abate, Francesco Bullo, Samuel Coogan
2022	J	`jnl`	Non-Euclidean Contraction Theory for Robust Nonlinear Stability. IEEE Trans. Autom. Control. Alexander Davydov, Saber Jafarpour, Francesco Bullo
2022	C	`conf`	Non-Euclidean Contractivity of Recurrent Neural Networks. ACC Alexander Davydov, Anton V. Proskurnikov, Francesco Bullo
2022	—	`conf`	Non-Euclidean Monotone Operator Theory with Applications to Recurrent Neural Networks. CDC Alexander Davydov, Saber Jafarpour, Anton V. Proskurnikov, Francesco Bullo
2022	J	`jnl`	Non-Euclidean Monotone Operator Theory with Applications to Recurrent Neural Networks. CoRR Alexander Davydov, Saber Jafarpour, Anton V. Proskurnikov, Francesco Bullo
2022	J	`jnl`	Robust Training and Verification of Implicit Neural Networks: A Non-Euclidean Contractive Approach. CoRR Saber Jafarpour, Alexander Davydov, Matthew Abate, Francesco Bullo, Samuel Coogan
2022	—	`conf`	Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive Approach. L4DC Saber Jafarpour, Matthew Abate, Alexander Davydov, Francesco Bullo, Samuel Coogan
2022	J	`jnl`	The Yakubovich S-Lemma Revisited: Stability and Contractivity in Non-Euclidean Norms. CoRR Anton V. Proskurnikov, Alexander Davydov, Francesco Bullo
2021	—	`conf`	From Contraction Theory to Fixed Point Algorithms on Riemannian and Non-Euclidean Spaces. CDC Francesco Bullo, Pedro Cisneros-Velarde, Alexander Davydov, Saber Jafarpour
2021	J	`jnl`	From Contraction Theory to Fixed Point Algorithms on Riemannian and Non-Euclidean Spaces. CoRR Francesco Bullo, Pedro Cisneros-Velarde, Alexander Davydov, Saber Jafarpour
2021	J	`jnl`	Non-Euclidean Contraction Theory via Semi-Inner Products. CoRR Alexander Davydov, Saber Jafarpour, Francesco Bullo
2021	J	`jnl`	Non-Euclidean Contractivity of Recurrent Neural Networks. CoRR Alexander Davydov, Anton V. Proskurnikov, Francesco Bullo
2021	J	`jnl`	Pursuer Coordination in Multi-Player Reach-Avoid Games Through Control Barrier Functions. IEEE Control. Syst. Lett. Alexander Davydov, Phillip Rivera-Ortiz, Yancy Diaz-Mercado
2021	C	`conf`	Pursuer Coordination in Multi-Player Reach-Avoid Games through Control Barrier Functions. ACC Alexander Davydov, Phillip Rivera-Ortiz, Yancy Diaz-Mercado
2021	A*	`conf`	Robust Implicit Networks via Non-Euclidean Contractions. NeurIPS Saber Jafarpour, Alexander Davydov, Anton V. Proskurnikov, Francesco Bullo
2021	J	`jnl`	Robust Implicit Networks via Non-Euclidean Contractions. CoRR Saber Jafarpour, Alexander Davydov, Anton V. Proskurnikov, Francesco Bullo
2021	J	`jnl`	Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive Approach. CoRR Saber Jafarpour, Matthew Abate, Alexander Davydov, Francesco Bullo, Samuel Coogan
2020	J	`jnl`	Sparsity Structure and Optimality of Multi-Robot Coverage Control. IEEE Control. Syst. Lett. Alexander Davydov, Yancy Diaz-Mercado