Bridging Modalities: Advances in Multi-Modal Learning and Applications

7:00 - 9:00 (2h)

Welcome and introduction to the symposium

9:30 - 11:00 (1h30)

Unsupervised Machine Learning: Theory and Applications

Nistor Grozavu, Full Professor, CY Cergy Paris University

11:00 - 11:20 (20min)

Coffee break

11:20 - 12:30 (1h10)

Manifold Learning: Unraveling Complex Data Structures

Nicoleta Rogovschi, Associate Professor HdR at LIPADE, Université de Paris

12:30 - 14:00 (1h30)

Lunch break

14:00 - 15:00 (1h)

Frugal Multi-Modal Learning: Efficient Approaches for Resource- Constrained Environments

Issam Falih, Associate Professor at Université Clermont Auvergne

15:00 - 16:00 (1h)

Learning Mixtures-of-Experts from Heterogeneous and High-Dimensional Data

Faiciel Chamroucki, Full Professor at IRT SystemX

16:00 - 16:20 (20min)

Coffee break

16:20 - 17:15 (55min)

Recommendation Systems: Enhancing User Experience through Multi- Modal Approaches

Yasser Khalafaoui, PhD Student at ETIS, CY Cergy Paris University

17:15 - 18:35 (1h20)

Contextualization Processes in Multi-Modal Learning

Georgeta Cislaru, Full Professor at Sorbonne Nouvelle University

	Sat. 21	Sun. 22	Mon. 23
07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00	Welcome and introduction to the symposium 7:00 - 9:00 (2h) Welcome and introduction to the symposium Unsupervised Machine Learning: Theory and Applications 9:30 - 11:00 (1h30) Unsupervised Machine Learning: Theory and Applications Nistor Grozavu, Full Professor, CY Cergy Paris University Coffee break 11:00 - 11:20 (20min) Coffee break Manifold Learning: Unraveling Complex Data Structures 11:20 - 12:30 (1h10) Manifold Learning: Unraveling Complex Data Structures Nicoleta Rogovschi, Associate Professor HdR at LIPADE, Université de Paris Lunch break 12:30 - 14:00 (1h30) Lunch break Frugal Multi-Modal Learning: Efficient Approaches for Resource- Constrained Environments 14:00 - 15:00 (1h) Frugal Multi-Modal Learning: Efficient Approaches for Resource- Constrained Environments Issam Falih, Associate Professor at Université Clermont Auvergne Learning Mixtures-of-Experts from Heterogeneous and High-Dimensional Data 15:00 - 16:00 (1h) Learning Mixtures-of-Experts from Heterogeneous and High-Dimensional Data Faiciel Chamroucki, Full Professor at IRT SystemX Coffee break 16:00 - 16:20 (20min) Coffee break Recommendation Systems: Enhancing User Experience through Multi- Modal Approaches 16:20 - 17:15 (55min) Recommendation Systems: Enhancing User Experience through Multi- Modal Approaches Yasser Khalafaoui, PhD Student at ETIS, CY Cergy Paris University Contextualization Processes in Multi-Modal Learning 17:15 - 18:35 (1h20) Contextualization Processes in Multi-Modal Learning Georgeta Cislaru, Full Professor at Sorbonne Nouvelle University	Visit to Miami 9:00 - 17:00 (8h) Visit to Miami Explore the vibrant culture and attractions of Miami. Options may include visits to local museums, the Miami Beach area, or other notable landmarks.	Multi-Modal Visualization 9:00 - 10:40 (1h40) Multi-Modal Visualization Tutorial Session by Coffee break 10:40 - 11:00 (20min) Coffee break Multi-Modal Knowledge Extraction 11:00 - 12:30 (1h30) Multi-Modal Knowledge Extraction Tutorial Session by Issam Falih Lunch break 12:30 - 14:00 (1h30) Lunch break Multi-Modal Clustering 14:00 - 16:00 (2h) Multi-Modal Clustering Tutorial session by Yasser Khalafaoui The Future of Multi-Modal AI: Challenges and Opportunities 16:00 - 17:30 (1h30) The Future of Multi-Modal AI: Challenges and Opportunities Panel Discussion