archimedes-Artificial Intelligence, Data Science, Algorithms-greece

 
Artificial Intelligence
 
Data Science
 
Algorithms

[Archimedes Talks] Sampling from high-dimensional constrained distributions

Dates
2025-03-31 12:00 - 14:00
Venue
Artemidos 1 - Amphitheater
Title: Sampling from high-dimensional constrained distributions

Speaker: Dr. Vissarion Fisikopoulos (Senior software engineer at Oracle and Coordinator of the GeomScale project)

Abstract: Sampling from a given probability distribution constrained by a convex
space is a fundamental problem that arises across various fields, from
optimization to quantitative finance and systems biology. These problems
are critical for modeling uncertainty, making decisions under
constraints, and understanding complex systems. However, designing
efficient sampling algorithms in high-dimensional spaces remains a
significant challenge.

In this talk, we will introduce the relevant theoretical background,
define the main problems, and delve into the core challenges associated
with sampling in constrained spaces. We will explore how these
challenges manifest in practical applications, briefly touching on real
world examples from biology and finance. Furthermore, we will outline
the current state-of-the-art methods available for some important
constraint models, focusing on their computational efficiency,
scalability, and accuracy.

From a practical viewpoint, we will demonstrate the implementation of
these methods in open-source software, providing hands-on insights into
their implementation and applicability. The discussed software is
publicly available at \url{https://github.com/GeomScale}, enabling
researchers and practitioners to integrate these advanced sampling
techniques into their workflows.


Short Bio: Previously, he was a postdoc researcher at Algorithms Research Group in Université libre de Bruxelles (ULB) working with Prof. Samuel Fiorini. Before that he was a visiting researcher at National Institute for Mathematical Sciences in South Korea and researcher at the University of Athens.
He holds a Phd in Computer Science, from University of Athens supervised by Prof. Ioannis Emiris. Also, a M.Sc. in Logic, Algorithms and Computation, from University of Athens. His diploma (5-year degree) is in Computer Engineering & Computer Science from CEID, University of Patras.

You can attend online via MS-Teams by clicking the following link 
https://teams.microsoft.com/l/meetup-join/19%3ameeting_MzM1MGQ0OTMtYWM2ZC00ZjcxLWE0NjktNmViMjA5MDEzMGI3%40thread.v2/0?context=%7b%22Tid%22%3a%226ae07702-c5f7-4f38-9b87-acad62a75d93%22%2c%22Oid%22%3a%223b9962c4-0ac4-490e-b207-84cc2d050195%22%7d


 
 

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 Flagship Project in Cardiology and AI is Featured in the News!

Archimedes Flagship Project in Cardiology and AI is Featured in the News!

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Archimedes Research Unit of the Athena Research Center, Greece, is featured in a recent article in Dnews. This article is about an Archimedes flagship project in cardiology and AI that aims to use "two-dimensional echocardiographic data to develop deep learning tools and improve the treatment of heart problems."

Best Paper Award at FAIEMA 202

Best Paper Award at FAIEMA 202

29 September 2025

Vasileios Moustakas, PhD student at the School of Electrical and Computer Engineering - NTUA and Academic Fellow at Archimedes, Athena Research Center, Greece, Konstantinos Cheliotis and Anna Mylona, both MEng students at the School of Electrical and Computer Engineering - NTUA and interns at Archimedes, Athena Research Center, Vassilis Alimisis, Postdoctoral Researcher at Archimedes, Athena Research Center, and Paul Sotiriadis, Lead Researcher at Archimedes, Athena Research Center, and a Professor at the School of Electrical and Computer Engineering - NTUA, received the Best Paper Award (PhD Symposium) at the

Nature Communications Publication on Advanced AI in Biological Research by Giorgos Papanastasiou

Nature Communications Publication on Advanced AI in Biological Research by Giorgos Papanastasiou

25 September 2025

Giorgos Papanastasiou, Lead Researcher at the Archimedes Research Unit of the Athena Research Center, Greece,and Faculty Research Fellow at Edinburgh Imaging, at the University of Edinburgh, the Queen’s Medical Research Institute, Edinburgh, UK, has co-published a Nature Communications paper on "Clinical implications of bone marrow adiposity identified by phenome-wide association and Mendelian randomization in the UK Biobank."Prof. Papanastasiou mentions that "this project is a strong testament to the power of augmenting biological research with advanced AI and data science methods."

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.

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