ARCHIMEDES SUMMER SCHOOL 2024 – A Thriving Hub of Ideas and Collaboration

In summer 2024, Archimedes proudly hosted its most ambitious summer program yet, supporting collaboration, and discovery in the foundations of Machine Learning (ML), Artificial Intelligence (AI), Data Science, and their intersecting disciplines.

Building on the success of the 2023 and 2022, the 2024 summer program brought together an exceptional community of PhD fellows, undergraduate interns, junior and senior researchers from Greece and abroad. This dynamic environment facilitated scientific discussions, the sharing of cutting-edge research, and the formation of lasting academic partnerships.

Highlights from the Program

Organising the Workshop on AI in Imaginga hybrid workshop at our offices in Marousi, that brought together a vibrant community of researchers, students, and professionals to explore cutting-edge developments in artificial intelligence, computer vision, and precision medicine. The workshop featured talks from internationally recognized experts on conditioning generative models, multimodality in vision systems, AI for longitudinal monitoring in medicine, and fine-tuning large models for precision medicine. Each session sparked lively discussions, highlighting the promise of AI-powered technologies in transforming medical diagnostics and visual data analysis.

Co-Organising the Workshop on Algorithms for Learning and Economics (WALE 2024), a 5 day Workshop that took place in Kefalonia and successfully brought together 150 top international researchers in mechanism design, auction design, market design, and econometrics. Archimedes had a strong presence with 18 researchers presenting their work at the workshopWALE provided a platform for top-tier researchers to share knowledge, foster collaborations, and drive forward the frontiers of learning and economics. Participants left the workshop with new insights, potential partnerships, and a renewed commitment to advancing their respective fields.

Co-Organising the Archimedes Workshop on the Foundations of Modern AI, a 2 day Workshop that happened at the National Technical University of Athens during July. This event focused on research and advancements in fields such as Statistical and Computational Learning Theory, Optimization, Algorithmic Game Theory, and Approximation and Online Algorithms. 

Organising the Archimedes Summer School on Cryptography, Blockchains, and Game Theorywas a 2 day summer school dedicated to exploring the dynamic intersection of cryptography, blockchain technologies, and game theory. Hosted by Archimedes, the summer school brought together leading experts to explore both foundational principles and cutting-edge research shaping the future of decentralized systems. Key topics included blockchain consensus mechanisms, game-theoretic approaches to decentralized environments, and the cryptographic foundations of blockchain systems

 

Additionally during the two-month summer program we had the opportunity to host talks by visiting researchers that spent some time with us. This provided an opportunity for our PhD fellows and in general the ARCHIMEDES community to get a good understanding of various areas.

Visiting Reasearchers

Srini Devadas Privacy Tutorial
Francis Bach  An alternative view of denoising diffusion models
Grigorios Chrysos  Are activation functions required for learning in all deep networks? 
Thaleia Doudali   The Hitchhiker's Guide to Using Machine Learning in System-level Resource Management
Constantine Drovolis   Sparsity, modularity, and structural plasticity in deep neural networks
Noah Golowich    Can Q-learning be improved with Advice?
Michalis Nicolaou  Tensor Decompositions in Large Scale Deep Learning 
James Oldfield

Tensor Decompositions in Large Scale Deep Learning

Artem Tsikiridis

To Trust or Not to Trust: Assignment Mechanisms with Predictions in the Private Graph Model

Vijay Vazirani

Cardinal-Utility Matching Markets: From Tractability to Intractability ... and Back! , A Theory of Alternating Paths and Blossoms, from the Perspective of Minimum Length

Chrysoula Zerva  

Uncertainty in NLP: Quantification, interpretation, evaluation and beyond

Angeliki Pantazi  

Towards nextgeneration AI with neuroinspired computing

Gil Kur   The divine K-convexity argument of Pisier
Yiannis Vlasopoulos

A proposal for the mathematical structure computed by large language models

Ανθή Χατζηκυριακίδου

Θεωρία παιγνίων στην ταξινόμηση των γενετικών παραλλαγών των γονιδίων

Stergios Christodoulidis

Multisource transfer learning with convolutional neural networks for lung pattern analysis, Computer-aided diagnosis of pulmonary fibrosis using deep learning and CT images

Dimitris Christou  

Multi-Dimensional Online Contention Resolution Scheme for Revenue Maximization

Ilias Zadik

Counting Stars is Constant-Degree Optimal For Detecting Any Planted Subgraph

Paweł Kamocki Copyright status of AIgenerated (synthetic) data and the impact of the AI Act on language models
Nicholas Hatsopoulos

Bridging Minds to Machines: Current Challenges in Brain-Machine Interface Technology

George Tsialamanis

Machine-learning for structural dynamics and structural health monitoring

Gonzalo Napoles

Fuzzy Cognitive Map models for pattern classification and time series forecasting

Iasonas Kokkinos

Learning-based 3D understanding of deformable objects using weak and self-supervision

Kyros Koutoulakos The Ultimate Video Camera
Simona Mihaita Incident Management Modelling via AI
Ron Lavi From Monopoly to Competition: When Do Optimal Contests Prevail?
Katia Sycara  

Cognitive Robotics and AI

Gershon Elber

(Geometric) Constraints Solving Using Multivariate Spline Functions

Nicolas Schreuder

Fairness in machine learning: a study of the Demographic Parity constraint

 The ARCHIMEDES researchers delivered talks on a multitude of topics, covering the six main themes of ARCHIMEDES: Causality and Fairness, Game Theory/Optimization/Multi-Agent Learning, Machine Learning and Computer Vision, Machine Learning and Life Sciences, Machine Learning and Natural Language Processing, and Machine Learning Foundations. All talks were well attended by our PhD fellows and visiting researchers.

ARCHIMEDES researchers 

 Nikos Mamoulis  Three-dimensional Geospatial Interlinking with JedAI-spatial
 Sotiraki Katerina   PRIVACY Tutorial
 Konstantinos Daskalakis   New Connections Between Online Learning and Game Theory
 Panagiotis Kaliosis   Data-Driven Guided Decoding for Diagnostic Captioning
 Panagiotis Kaklis   Dimensionality Reduction: Extracting Physics-informed Features via Geometric Moments
 Vaggos Chatziafratis   From Hierarchical Clustering to Phylogenetic CSPs, in the worst-case and beyond , Algorithmic Aspects of Clustering
 Vasilis Syrgkanis    Foundations of Causal ML 
 Dimitrios Kanoulas   Cognitive Legged Robots for Real-World Applications

 

 In our retrospective, Archimedes celebrates the connections formed, ideas sparked, and research seeded. The center remains committed to building a world-class research ecosystem — and the 2024 summer program marked another confident step in that direction.

 
 

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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