A. Davydov and F. Bullo.
Exponential Stability of Parametric Optimization-Based Controllers via Lur'e contractivity.
IEEE Control Systems Letters,
8:1277-1282,
2024.
Keyword(s): Contraction Theory.
[bibtex-entry]
A. Gokhale,
A. Davydov,
and F. Bullo.
Contractivity of Distributed Optimization and Nash Seeking Dynamics.
IEEE Control Systems Letters,
7:3896-3901,
2023.
[bibtex-entry]
S. Jaffe,
A. Davydov,
D. Lapsekili,
A. K. Singh,
and F. Bullo.
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees.
In Advances in Neural Information Processing Systems,
2024.
Note: Submitted.
[bibtex-entry]
A. Davydov,
S. Jaffe,
A. K. Singh,
and F. Bullo.
Retrieving $k$-Nearest Memories with Modern Hopfield Networks.
In 2023 NEURIPS Workshop on Associative Memory and Hopfield Networks,
December 2023.
[bibtex-entry]
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]