archimedes-Artificial Intelligence, Data Science, Algorithms-greece

 
Artificial Intelligence
 
Data Science
 
Algorithms

Cancelled

[Archimedes Talks] Advances in Robust Representations for Inverse problems and Continual Learning

Dates
2025-04-14 13:00 - 15:00
Venue
Artemidos 1 - Amphitheater

Title: Advances in Robust Representations for Inverse problems and Continual Learning


Speaker: Prof. Giampouras Paris (Assistant Professor, University of Warwick)


Abstract: In this talk, I will first focus on the problem of robust low-rank matrix estimation from corrupted measurements. Building on a matrix factorization (MF) approach, I will present a novel optimization algorithm that employs preconditioned-type updates for the matrix factors. This algorithm provably addresses two longstanding challenges in MF-based methods: (a) reliance on awareness of the rank of the target matrix in advance, and (b) slow convergence when the underlying matrix is ill-conditioned. Next, I will introduce an inverse algorithm for deep generative models. I will discuss new theoretical guarantees that relax the commonly used assumption of randomized model weights, demonstrating that a gradient-descent-based approach globally converges for a broad class of inverse problems. Finally, I will present a unifying theoretical framework that provides new insights into state-of-the-art strategies for continual learning i.e., training neural networks on a series of tasks while mitigating catastrophic forgetting. This framework not only sheds light on the strengths and weaknesses of existing methods but also paves the way for the development of more efficient continual learning techniques.
 
Short Bio: Paris Giampouras is an Assistant Professor of ML/AI at the Department of Computer Science of the University of Warwick. Before that, he was a Research Faculty member at the Mathematical Institute for Data Science (MINDS) of Johns Hopkins University (JHU), working with Professor Rene Vidal. From 2019 to 2022, he held a Marie-Sklodowska Curie postdoctoral fellowship at MINDS at JHU. His research area is a combination of machine learning and signal processing, with a focus on parsimonious representation learning and its applications in deep generative models and continual learning. His work is interdisciplinary and encompasses topics such as convex/nonconvex optimization theory, Bayesian inference, high-dimensional probability theory with applications in image processing/computer vision, and trustworthy ML.
 

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Vision

To position Greece as a leading player in AI and Data Science

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Mission

To build an AI Excellence Hub in Greece where the international research community can connect, groundbreaking ideas can thrive, and the next generation of scientists emerges, shaping a brighter future for Greece and the world

 

Welcome to ARCHIMEDES, a vibrant research hub connecting the global AI and Data Science research community fostering groundbreaking research in Greece and beyond. Its dedicated core team, comprising lead researchers, affiliated researchers, Post-Docs, PhDs and interns, is committed to advancing basic and applied research in Artificial Intelligence and its supporting disciplines, including Algorithms, Statistics, Learning Theory, and Game Theory organized around 8 core research areas. By collaborating with Greek and Foreign Universities and Research Institutes, ARCHIMEDES disseminates its research findings fostering knowledge exchange and providing enriching opportunities for students. Leveraging AI to address real-world challenges, ARCHIMEDES promotes innovation within the Greek ecosystem and extends its societal impact. Established in January 2022, as a research unit of the Athena Research Center with support from the Committee Greece 2021, ARCHIMEDES is funded for its first four years by the EU Recovery and Resilience Facility (RRF).

 
 

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GameSec 2025 just Around the Corner!

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The 16th Conference on Game Theory and AI for Security (GameSec25), an event strongly supported by Archimedes, Athena Research Center, Greece will take place at the National Technical University of Athens, Greece from October 13-15 2025. "With the rapid advancement of artificial intelligence, game theory, and security technologies, the resilience and trustworthiness of modern systems is more critical than ever. The 2025 Conference on Game Theory and AI for Security focuses on leveraging strategic decision-making, adversarial reasoning, and computational intelligence to address security challenges in complex and dynamic environments.

11 Papers Accepted at NeurIPS 2025!

11 Papers Accepted at NeurIPS 2025!

We are happy to announce that 11 papers from Archimedes, Athena Research Center, Greece, have been accepted at the Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025)!NeurIPS is a major annual event in the artificial intelligence and machine learning community and this year it will take place from December 2 to December 7 at the San Diego Convention Center, California, USA.

 
 

The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

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