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We study foundational questions for machine learning systems. Our style of research is to examine closely a number of things that are taken for granted. We aim for a deep understanding of a small number of things. Our motivation for research is primarily the "joy of finding things out." We are not...

machine learning processes information, but what do we mean by 'information"? One view comes from Information Theory, which was originally developed motivated by problems of communication. But learning problems are different, aren't they? This project explores the notion of information that makes...

Maria-von-Linden Strasse 1 Tübingen, 72076 Germany email

I am a mathematician with research experience in differential geometry, geometric analysis, and mathematical relativity. The main goal of my current research is to better understand several key objects in machine learning from a rigorous mathematical point of view. I am convinced that analyzing...

Hi there, I’m Ben! B y asking foundational questions about machine learning and its use, I hope to help shaping the development and deployment of 'artificial intelligence' in a way that is beneficial and not harmful to society. Recently, I have been thinking especially about the interpretation and...

Welcome to my webpage! Since November 2021, I have been a PhD student at the Foundations of Machine Learning group. Previously, I worked as a research intern at the Max Planck Institute for Intelligent Systems with Dr. Caterina De Bacco, applying statistical physics to network science problems. I...

Feel free to contact me at University of Tübingen Department of Computer Science Room A433, 4th floor Maria-von-Linden-str. 1 72076 Tübingen Germany laura [dot] iacovissi [at] uni-tuebingen [dot] de or check out my profiles: ​ Google Scholar ​ Github LinkedIn