Paris Giampouras

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

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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!

NEW

🎉 Weekend Course on Gen-AI

When? Oct 2025 (Exact dates TBA!)  ·  Where? Uni of Warwick

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.

Who’s welcome? MSc/PhD students, researchers, tech professionals and basically everyone excited to dive in and get hands-on with AI!  |   |  Full details + sign-up link coming soon!

news

May 30, 2025 Two papers (1 poster & 1 spotlight) were accepted at ICML 2025! See you in Vancouver :)!
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

  1. ICML
    Guarantees of a preconditioned subgradient algorithm for overparameterized asymmetric low-rank matrix recovery
    Paris Giampouras, HanQin Cai, and René Vidal
    International Conference on Machine Learning (ICML) 2025
  2. ICML
    Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework
    Terje Mildner, Oliver Hamelijnck, Paris Giampouras, and 1 more author
    International Conference on Machine Learning (ICML) (spotlight) 2025
  3. ICML
    The ideal continual learner: An agent that never forgets
    Liangzu Peng, Paris Giampouras, and René Vidal
    2023
  4. ICLR
    Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension
    Paris Giampouras, Benjamin Haeffele, and Rene Vidal
    International Conference on Learning Representations 2022
  5. IEEE TSP
    Block-Term Tensor Decomposition Model Selection and Computation: The Bayesian Way
    Paris Giampouras, Athanasios A. Rontogiannis, and Eleftherios Kofidis
    IEEE Transactions on Signal Processing 2022
  6. ICML
    Reverse Engineering \ell_p attacks: A block-sparse optimization approach with recovery guarantees
    Darshan Thaker *, Paris Giampouras *, and Rene Vidal
    (* equal contribution) 39th International Conference on Machine Learning 2022