Happy Women's Day!
8 March 2025
Happy Women's Day to the Invaluable Women of Archimedes.
Artificial Intelligence
Data Science
Algorithms
archimedes-Artificial Intelligence, Data Science, Algorithms-greece
greece
Algorithms
Data Science
Artificial Intelligence
[Archimedes Talks Series] Counting Stars is Constant-Degree Optimal For Detecting Any Planted Subgraph
Dates
2024-07-11 17:00 - 18:00
Venue
Microsoft Teams Meeting
Title: Counting Stars is Constant-Degree Optimal For Detecting Any Planted Subgraph
Presenter: Professor Ilias Zadik, Assistant Professor at Yale University
Abstract: Over the last decade, multiple papers have studied the power of low-degree polynomials in detecting subgraphs in random graphs. Formally, all these papers study special cases of the following general hypothesis testing problem: let H=H_n be an arbitrary undirected graph on n vertices. Can a D-degree polynomial detect between a ``null'' Erdős-Rényi random graph G(n,p) and a ``planted'' random graph which is the union of G(n,p) together with a random copy of H=H_n? The special cases include the case when H is a clique (the planted clique model), when H is a matching (the planted matching problem), and more.
Presenter: Professor Ilias Zadik, Assistant Professor at Yale University
Abstract: Over the last decade, multiple papers have studied the power of low-degree polynomials in detecting subgraphs in random graphs. Formally, all these papers study special cases of the following general hypothesis testing problem: let H=H_n be an arbitrary undirected graph on n vertices. Can a D-degree polynomial detect between a ``null'' Erdős-Rényi random graph G(n,p) and a ``planted'' random graph which is the union of G(n,p) together with a random copy of H=H_n? The special cases include the case when H is a clique (the planted clique model), when H is a matching (the planted matching problem), and more.
We prove a new unifying positive result that for all H=H_n, as long as D=O(1), the optimal such D-degree polynomial is always given simply by the count stars in the input graph. This allows us to prove multiple old and new results in the literature of low-degree
polynomials for this task.
Bio: Ilias Zadik is Assistant Professor of Statistics and Data Science at Yale University. His research mainly focuses on the mathematical theory of statistics and its many connections with other fields such as computer science, probability theory, and statistical physics. His primary area of interest is the study of “computational-statistical trade-offs,” where the goal is to understand whether computational bottlenecks are unavoidable in modern statistical models or a limitation of currently used techniques. Prior to Yale, he held postdoctoral positions at MIT and NYU. He received his PhD from MIT in 2019.
Bio: Ilias Zadik is Assistant Professor of Statistics and Data Science at Yale University. His research mainly focuses on the mathematical theory of statistics and its many connections with other fields such as computer science, probability theory, and statistical physics. His primary area of interest is the study of “computational-statistical trade-offs,” where the goal is to understand whether computational bottlenecks are unavoidable in modern statistical models or a limitation of currently used techniques. Prior to Yale, he held postdoctoral positions at MIT and NYU. He received his PhD from MIT in 2019.
________________________________________________________________________________
Meeting ID: 345 129 612 964
Passcode: TBnfah
For organizers: Meeting
options
________________________________________________________________________________
Vision
To position Greece as a leading player in AI and Data Science
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).
Archimedes and the Biomedical Research Foundation Share Latest Findings in AI and Medicine
4 March 2025
Archimedes and the Biomedical Research Foundation of the Academy of Athens successfully hosted a special collaborative session at the Panhellenic Working Group Seminars of the Hellenic Society of Cardiology. This session focused on innovative applications of artificial intelligence in medicine, with a particular emphasis on advancements in cardiology. Held on Friday, February 7, 2025, in Room MC2 of the Megaron Athens International Conference Centre, the event brought together leading experts to explore how artificial intelligence is transforming cardiovascular medicine.
Archimedes Reaches Milestone of 200 Publications
12 February 2025
Archimedes is proud to announce that its researchers have published over 200 scientific publications in top-tier conferences (NeurIPS, ICLR, ICML) and journals.Archimedes maintains a vibrant scientific community of over 130 researchers, including more than 60 senior researchers (faculty members from Greece and abroad), 12 postdoctoral fellows, and 55 PhD students, along with over 20 undergraduate interns from various disciplines.
Happy International Greek Language Day!
9 February 2025
Today, we celebrate the historical, cultural, and linguistic significance of the Greek language. While Standard Modern Greek often takes center stage, we at Archimedes - AI and Data Science Research Hub recognize the impressive diversity and great cultural significance of its numerous dialects. These dialects present both exciting opportunities and complex challenges for AI and Large Language Models (LLMs) because each one of them presents unique linguistic features and all of them are low resourced. That’s why we’re using cutting-edge AI to document, digitize, and analyze these invaluable linguistic treasures, ensuring their preservation and accessibility for generations to come.
Two Research Positions in Data Stream Management Systems & Big Data Management
7 February 2025
We are pleased to announce the availability of two research positions in data stream management systems and big data management, to be co-supervised by Assistant Professor Odysseas Papapetrou from the Eindhoven University of Technology (TU/e) in the Netherlands and Professor Minos Garofalakis from the Technical University of Crete in Greece.
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.
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)