archimedes-Artificial Intelligence, Data Science, Algorithms-greece

 
Artificial Intelligence
 
Data Science
 
Algorithms

Archimedes Talk on "Seymour instances, half-integral flows and uncrossable cut-cover" by Prof. Naveen Garg(Indian Institute of Technology (IIT), Delhi)

Dates
2026-05-25 16:00 - 17:00
Venue
Archimedes 1 - Amphitheater

Abstract: 

The cut condition is necessary and sufficient for routing of multicommodity flow when the union of the supply and demand graph is planar; such instances are called Seymour instances. We consider the problem of maximizing ½-integral flow and provide a tight relation with integer multicut in such instances. To do so we prove that the primal-dual algorithm of Williamson et.al. for finding a minimum cover of uncrossable set functions can be modified to obtain a half-integral dual.

Short Biography:

Naveen Garg is the Usha Hasteer Professor of Computer Science at the Indian Institute of Technology Delhi. He did his B.Tech. and Ph.D. in Computer Science from IIT Delhi, was a postdoctoral researcher at the Max-Planck-Institut fur Informatik, Germany and since 1998 he has been a faculty member at IIT Delhi. Naveen’s contributions are primarily in the design and analysis of approximation algorithms for NP-hard combinatorial optimization problems arising in network design, scheduling, routing, facility location etc. He is a Fellow of Indian Academy of Science, and the Indian National Academy of Engineering and was awarded the SS Bhatnagar award for Mathematical Sciences in 2016.

 

Online participants: MS-Teams, https://teams.microsoft.com/meet/321692915270971?p=VWkGMiyxlYinN7Mt0o 

 
 

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

 

ARCHIMEDES IMPACT

Highlights will be added soon.

 

NEWS

 
Διαδικτυακά Μαθήματα ΠΔΤΝ 2026–2027 (GR/EN)

Διαδικτυακά Μαθήματα ΠΔΤΝ 2026–2027 (GR/EN)

Τα Διαδικτυακά Μαθήματα του Πανελλήνιου Διαγωνισμού Τεχνητής Νοημοσύνης (ΠΔΤΝ) για το 2026–2027 ξεκινούν την Πέμπτη 12 Νοεμβρίου 2026, στις 15:00 (ώρα Αθήνας). Γνωρίστε τα Νευρωνικά Δίκτυα, την Επεξεργασία Φυσικής Γλώσσας και την Όραση Υπολογιστών μέσα από δωρεάν μαθήματα μέσω Zoom. Το κείμενο είναι διαθέσιμο στα ελληνικά και στα αγγλικά (English version below).

Archimedes at EMNLP 2026

Archimedes at EMNLP 2026

Archimedes members will present seven papers at the Conference on Empirical Methods in Natural Language Processing (EMNLP 2026), one of the leading international conferences in natural language processing, taking place in Budapest, Hungary, from 24 to 29 October 2026: three papers in the Findings of EMNLP, one paper in the EMNLP Industry Track, and three papers at EMNLP workshops.

 
 

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.

Greece 2.0 – Funded by the European Union – NextGenerationEU