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 Imaging, a 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 workshop. WALE 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 Theory, was 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.
