This one-day workshop is organised jointly by Huawei and IHES, as a part of the IHES-Huawei partnership. The aim of the workshop is to bring together prominent voices from academia and industry to explore the evolving role of causal reasoning in artificial intelligence. The workshop will deliver meaningful dialogue around two major directions. The first one is theory-driven causal modelling, which focuses on theoretical approaches, frameworks, and tools for understanding causality, emphasizing the development of rigorous methods to identify, estimate, and interpret causal relationships. The second topic is machine learning with causal AI and its applications, which integrates machine learning and deep learning techniques to improve causal discovery, causal inference, causal representation learning and their corresponding application fields.
INVITED SPEAKERS:
- BOWDEN Jack (Exeter University, UK)
- CADEI Riccardo (EPFL, Switzerland)
- FUNG Pascale (HKUST & Visiting Professor at the Central Acad. of Fine Arts in Beijing)
- HENCKEL Leonard (Univ. College, Dublin, UK)
- LI Haoxuan (Peking University)
- LIMNIOS Myrto (EPFL, Switzerland)
- TIAN Jin (MBZUAI, Abu Dhabi)
- ZHOU Hong (Huawei)
Organisers: Keshuang Li (Huawei), Keli ZHANG (Huawei)
