Title: How can we use hierarchical classification to improve the representation of white blood cell images by foundation models? Summary: In this presentation I will first make an introduction about what is hierarchical classification and how can it be implemented in Deep Learning. I will also introduce DinoV2 architecture that is current state-of-the-art foundation model […]

Abstract: Structural Causal Models (SCMs) offer a powerful framework for understanding and reasoning about causal relationships, particularly in the context of total effects. In this presentation, we will explore a range of established tools for identifying total effects using fully specified Directed Acyclic Graphs (DAGs) derived from SCMs. These tools will be illustrated through two […]