From Theory to Applications
From 9:30 to 18:00
Research Director at CNRS, Assisting Director of Lattice Laboratory
We welcome Thierry Poibeau as one of our keynote speakers. As a distinguished Research Director at CNRS and Assisting Director of the Lattice laboratory, his work spans computational linguistics, natural language processing, and artificial intelligence. His expertise in text analysis and language technologies brings valuable insights to the embedding research community.
Research Director at CNRS
We are glad to have Mehdi Khamassi join us as a keynote speaker. As a Research Director at CNRS, his work focuses on computational neuroscience and robotics. His research brings together neural networks, reinforcement learning, and cognitive architectures, offering unique perspectives on embedding applications in adaptive behavior and decision-making systems.
Professor in the Network Science Institute at Northeastern University London
Giovanni Petri is joining us as a keynote speaker. His research spans the analysis of neuroimaging data and AI systems with topological techniques, the formalization of cognitive control models with tools of statistical mechanics and network theory, and the study of the predictability of socio-technical systems.
Liubov Tupikina and Charles de Dampierre
Thierry Poibeau
Do Large Language Models Have Any Relevance for Linguistic Theory?
Mehdi Khamassi
How can we ensure AI system's alignment with human values?
Giovanni Petri
Balancing Learning, Generalization, and Processing Efficiency
École Normale Supérieure (ENS)
Salle Dussane
45 rue d'Ulm, 75005 Paris, France
View on Google MapsMetro: Line 7 (Place Monge), RER B (Luxembourg)
Bus: Lines 21, 27, 89
For those attending remotely, you can join via Zoom:
Join Zoom MeetingMeeting ID: 93798697609
Please join 10 minutes before the start of the session.
The Embed-Days will be recorded.
Share your work in a format that suits you best. The Embed-Days colloquium welcomes various form of work.
Present your research on embedding methods, their theoretical foundations, or applications. We welcome both completed work and ongoing research that explores novel approaches, theoretical frameworks, or empirical findings in embedding-based analysis.
A format designed for presenting emerging ideas, methodological innovations, or preliminary results. Particularly suited for work that warrant discussion with the research community.
Animate a discussion on theoretical challenges, methodological approaches, and recent developments in embedding research. These sessions examine both fundamental questions in embedding theory and their practical implications across different domains of application. You can come with either your own questions or papers to be discussed live.
Bringing together diverse perspectives on embeddings
Exploring the theoretical foundations of embeddings, from topology to geometric deep learning
Understanding and interpreting embedding spaces in artificial intelligence systems
Applying embedding techniques to understand social phenomena and human behavior
Leveraging embeddings for large-scale data analysis and visualization
The Embed-Days colloquium is dedicated to the presentation of research papers on embeddings, focusing on four primary fields: Mathematics, AI Explainability, Computational Social Sciences, and Big Data.
The Embed-Days aim to facilitate the exchange of ideas and methodologies in embedding research. While located in Paris, we intend to gather the international embedding research community.
We explore the intersections of embedding research across various domains. This approach allows for a broader understanding of embeddings' potential applications and implications.