Paris Giampouras
Assistant Professor @ Department of Computer Science, University of Warwick.

MB2.30, Mathematical Sciences Building
University of Warwick,UK
I am an Assistant Professor of ML/AI at the Department of Computer Science, University of Warwick, and an Affiliated Researcher at the Archimedes AI Research Center. Previously, I was a Research Faculty member at the Mathematical Institute for Data Science (MINDS) at Johns Hopkins University (JHU). From 2019 to 2022, I held a Marie Skłodowska-Curie postdoctoral fellowship at MINDS.
My research combines machine learning and signal processing, focusing on parsimonious representation learning and its applications in deep generative models, continual learning, and trustworthy ML.
I co-organize the Foundations of AI Seminar (FAIS) series. If you’d like to be considered as a future speaker, please reach out!
Prospective collaborators and students interested in working with me are highly encouraged to e-mail me!
🎉 Weekend Course on Gen-AI
Two packed days demystifying large-language models, image generative models, and prompt engineering. Short lectures alternate with hands-on labs using state-of-the-art AI models.
news
May 30, 2025 | Two papers (1 poster & 1 spotlight) were accepted at ICML 2025! See you in Vancouver :)! |
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Oct 10, 2024 | I am excited to be serving as an Area Chair for both ICLR 2025 and AAMAS 2025! |
Dec 10, 2023 | I have joined the Department of the University of Warwick as an Assistant Professor of ML/AI! Currently, I am seeking a talented student to collaborate with for a fully funded PhD position. Please feel free to contact me if you are interested! |
May 30, 2023 | I am delighted to be serving as an Area Chair for the upcoming Conference on Parsimony and Learning, scheduled to be held at Hong Kong University (HKU) in January 2024! It is an honor to collaborate with exceptional colleagues and distinguished experts in this field. |
May 28, 2023 | Excited to give an invited talk at SIAM-OPT in Seattle (Thursday, June 1st) on Alternating Iteratively Reweighted Algorithms for Matrix and Tensor Decompositions! |
selected publications
- ICMLGuarantees of a preconditioned subgradient algorithm for overparameterized asymmetric low-rank matrix recoveryInternational Conference on Machine Learning (ICML) 2025
- ICMLFederated Generalised Variational Inference: A Robust Probabilistic Federated Learning FrameworkInternational Conference on Machine Learning (ICML) (spotlight) 2025
- ICML