archimedes-Artificial Intelligence, Data Science, Algorithms-greece

 
Artificial Intelligence
 
Data Science
 
Algorithms

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

Dates
2025-04-24 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).

 
 

NEWS

 
Archimedes Talk by Eli Baum on

Archimedes Talk by Eli Baum on "ORQ: Scaling Complex Multiparty Computations to Large Private Datasets"

On Monday 4 May, 2026, from 1:00 pm to 2:30 pm, at the Archimedes Amphitheatre (1 Artemidos Street, 15125, Marousi, Archimedes, Athena Research Center, Greece), Eli Baum, a third-year Ph.D. student at  Boston University, USA, and a member of the BU CASP Systems Lab and the BU Security Group, will deliver an Archimedes talk on "ORQ: Scaling Complex Multiparty Computations to Large Private Datasets."

DialRes-LREC 2026 workshop: “Dialects in NLP: A Resource Perspective”

DialRes-LREC 2026 workshop: “Dialects in NLP: A Resource Perspective”

Researchers from the Archimedes Unit of the Athena Research Center, Greece, together with the Athena Research Center team on Dialectal NLP, affiliated with the Institute for Language and Speech Processing, and in collaboration with researchers from George Mason University, are organizing the first edition of the DialRes-LREC 2026 workshop, “Dialects in NLP: A Resource Perspective”, to be held on 16 May 2026. More information is available here: https://dialres.github.io/dialres/index.html.

Antonis Anastasopoulos' Keynote Speech on

Antonis Anastasopoulos' Keynote Speech on "Machine Translation and Low-Resource NLP" from the Athens NLP 2025 Summer School is Now Available Online

Antonis Athanassopoulos, an Assistant Professor at the Computer Science Department of George Mason University,USA, and a Lead Researcher at Archimedes, Athena Research Center, Greece, was one of the keynote speakers at the Athens NLP 2025 Summer School, held at the National Centre for Scientific Research Demokritos in Greece, from 4 to 10 September 2025.His presentation on "Machine Translation and Low-Resource NLP" is now available online.

Christos Papadimitriou Speaks on “Artificial Intelligence: its History, its Present, and its Uncertain Future”

Christos Papadimitriou Speaks on “Artificial Intelligence: its History, its Present, and its Uncertain Future”

Christos Papadimitriou, Donovan Family Professor of Computer Science at Columbia Engineering at Columbia University, USA, and Principal Scientist at the Archimedes Research Unit of the Athena Research Center, Greece, spoke about “Artificial Intelligence: its History, its Present, and its Uncertain Future” during the ten-year anniversary event of diaNEOsis think tank, which took place on March 11, 2026, at the Stavros Niarchos Foundation Cultural Center (SNFCC).

 
 

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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