archimedes-Artificial Intelligence, Data Science, Algorithms-greece

 
Artificial Intelligence
 
Data Science
 
Algorithms

Archimedes Talk Series on "Learning Saliency-Preserving Latent Representations" by Prof. Stratis Ioannidis (Northeastern University, Boston, USA)

Dates
2026-06-24 13:30 - 14:30
Venue
Archimedes 1 - Amphitheater
Abstract: We introduce an algorithm for learning salient feature representations through the explicit decomposition of salient and non-salient features into separate spaces. We show that our algorithm promotes learning low-dimensional, task-relevant features. We prove that the expected prediction deviation under input perturbations is upper-bounded by the dimension of the salient subspace and the so-called Hilbert-Schmidt Independence Criterion between inputs and representations. This establishes a link between robustness and latent representation compression in terms of the dimensionality and information preserved. Empirical evaluations on image classification tasks show that models trained with our algorithm primarily rely on salient input components, as indicated by reduced sensitivity to perturbations affecting non-salient features, such as image backgrounds.
Paper: https://arxiv.org/abs/2510.20627  
Bio: Stratis Ioannidis ( ttps://ece.northeastern.edu/fac-ece/ioannidis  ) is a professor in the electrical and computer engineering department of Northeastern University, in Boston, MA, where he also holds a courtesy appointment with the Khoury college of computer sciences. He received his B.Sc. (2002) in electrical and computer engineering from the National Technical University of Athens, Greece, and his M.Sc. (2004) and Ph.D. (2009) in computer science from the University of Toronto, Canada. Prior to joining Northeastern, he was a research scientist at the Technicolor research centers in Paris, France, and Palo Alto, CA, as well as at Yahoo Labs in Sunnyvale, CA. He is the recipient of an NSF CAREER Award, a Google Faculty Research Award, a Facebook Research Award, a Søren Buus Outstanding Research Award, a Martin W. Essigmann Outstanding Teaching Award, and several best paper awards. His research interests span machine learning, distributed systems, networking, optimization, and privacy.
 
——————————————————————————————— 
To join remotely the MS-Teams link is the following: https://teams.microsoft.com/light-meetings/launch?context=%7B%22Tid%22%3A%226ae07702-c5f7-4f38-9b87-acad62a75d93%22%2C%22Oid%22%3A%22700280a8-c91f-41bd-9bf8-38b7959b4a6f%22%7D&anon=true&lightExperience=true&correlationId=fafb6e21-1108-4dab-9909-177003715233&agent=web&version=25100213804&coords=eyJjb252ZXJzYXRpb25JZCI6IjE5Om1lZXRpbmdfTnpFNE1qWmtaR0l0WldFM05TMDBOelE1TFRrME9USXROV016TXpFM05qZGtZalU0QHRocmVhZC52MiIsInRlbmFudElkIjoiNmFlMDc3MDItYzVmNy00ZjM4LTliODctYWNhZDYyYTc1ZDkzIiwib3JnYW5pemVySWQiOiI3MDAyODBhOC1jOTFmLTQxYmQtOWJmOC0zOGI3OTU5YjRhNmYiLCJtZXNzYWdlSWQiOiIwIn0%3D&deeplinkId=4e63ef33-15f3-4c15-97bd-bdbf273fae2e
 
 

Vision

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

image
image

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"

16 April 2026

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”

8 April 2026

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

2 April 2026

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”

24 March 2026

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).

More news items here
 
 

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.

greece2.0 eu_arch_logo_en

 

Stay connected! Subscribe to our mailing list by emailing sympa@lists.athenarc.gr
with the subject "subscribe archimedes-news Firstname LastName"
(replace with your details)