Adeyemi D. Adeoye

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I am a Research Fellow and PhD candidate in the DYSCO (Dynamical Systems, Control, and Optimization) research group at IMT Lucca, Italy under the supervision of Prof. Alberto Bemporad.

From August 2023 to January 2024, I was a visiting PhD student at the Faculty of Mathematics, University of Vienna, Austria, supervised by Prof. Philipp Petersen. I hold a Master’s degree in Mathematical Sciences and in Machine Intelligence from the African Institute for Mathematical Sciences (AIMS) and the AIMS-African Master’s in Machine Intelligence (AMMI), respectively. Before that, I obtained a Bachelor’s degree in (Pure and Applied) Mathematics from the University of Ilorin (UNILORIN), Nigeria.

Curriculum Vitae

Research topics

Mathematical optimization for engineering applications, with a focus on its theoretical foundations, algorithmic advancements, and practical role in machine learning and control.

Updates
02-09-2024 Attended the MaLGa Summer School “Applied Harmonic Analysis and Machine Learning” from from 02 to 06 Sept 2024. I presented a poster (see abstract here).
23-05-2024 New arXiv upload by M. Korbit on exact Gauss-Newton for deep neural networks.
23-04-2024 New arXiv upload on regularized Gauss-Newton for neural networks.
12-01-2024 Our "iSQPRL" paper got accepted for publication in IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
04-09-2023 New preprint uploaded to arXiv.
02-08-2023 I am an Erasmus+ Trainee at the Faculty of Mathematics, University of Vienna under the supervision of Prof. Philipp Petersen.
17-06-2023 Our "SCORE" paper got accepted for publication in Computational Optimization and Applications (COAP)
06-07-2022 Attending the Eastern European Machine Learning Summer School (EEML2022) as a participant from 06 to 14 Jul 2022. I was accepted to present a poster (see extended abstract here).
23-03-2022 Attending SciMLCon ‘22 - A conference on Scientific Machine Learning with the Julia Language.
28-02-2022 Will be attending the 5-day “LMS Invited Lectures on the Mathematics of Deep Learning” hybrid event from 28 Feb to 4 Mar 2022. Most lectures will be given by Gitta Kutyniok (LMU, Munich). More details here.
17-02-2022 Attending a 2-day “Introduction to the Julia Programming Language” online workshop by Michael F. Herbst. Details here.
14-12-2021 New manuscript (with A. Bemporad) on a new second-order optimization algorithm uploaded to arXiv. Also useful for training overparameterized neural networks models.