CRR :)

Carl Richardson
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About
I am a postdoctoral researcher in the Control Group at the University of Oxford, working with Antonis Papachristodoulou. My research focuses on the application of nonlinear systems theory and semidefinite programming to problems in machine learning and control. In particular, I am interested in how such theory can be harnessed to analyse the performance, robustness, and efficiency of these systems and inform better design. For an up to date list of my recent work, please refer to my Google Scholar profile.

Before joining Oxford, I was a PhD student at the University of Southampton where I was part of the MINDS CDT, advised by Matthew Turner. I also completed an internship at PNNL, with Ján Drgoňa and Ethan King in the Data Science and Machine Intelligence Group, and a studentship at the Alan Turing Institute in London.


News

Papers
Lurie Networks with Robust Convergent Dynamics
Carl R. Richardson, Matthew C. Turner, Steve R. Gunn
Transactions of Machine Learning Research (TMLR), 2025
(Paper) (Code)


Lurie Networks with k-contracting Dynamics
Carl R. Richardson, Matthew C. Turner, Steve R. Gunn
New Frontiers in Associative Memory Workshop at ICLR, 2025
(Paper) (Code)


Strengthened Stability Analysis of Discrete-time Lurie Systems Involving ReLU Neural Networks
Carl R. Richardson, Matthew C. Turner, Steve R. Gunn
Proceedings of Machine Learning Research (PMLR), 2024
(Paper) (Code)


Strengthened Circle and Popov Criteria and the Analysis of ReLU Neural Networks
Carl R. Richardson, Matthew C. Turner, Steve R. Gunn
IEEE UK Automatic Control Conference (UKACC), 2024
(Paper) (Code)


Strengthened Circle and Popov Criteria for the Stability Analysis of Feedback Systems with ReLU Neural Networks
Carl R. Richardson, Matthew C. Turner, Steve R. Gunn
IEEE Control Systems Letters, 2023
(Paper) (Code)