AI systems hold great potential in advancing both industrial and scientific domains, with a notable impact on areas such as AI-assisted drug discovery. Despite their promise, conventional AI models frequently function within static and single-agent decision-making frameworks. In this presentation, I aim to explore the inherent challenges posed by these current frameworks and present algorithmic solutions designed to overcome their limitations. Following this, I will introduce a research project dedicated to integrating multi-agent paradigms and dynamic modeling. Our approach seeks to augment the practical efficacy of upcoming AI systems by bridging the gaps between established theoretical frameworks and the complexities of real-world scenarios.
Game-Theoretic Diffusion Models
11.06.2024 09:50 - 10:35
Organiser:
Fakultät für Mathematik, Dekan Radu Ioan Boţ
Location:
Hörsaal 12, 2. OG