This short course covers recent developments in graphical and causal modeling in Statistics/Machine Learning. It is comprised of the following three lectures, each two hours long.
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What should we think about before AI does it for us? MDSI core member Prof. Enkelejda Kasneci, MDSI advisory board member Prof. Alena Buyx and other experts focus on the topic of AI and its impacts at…
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Be inspired, network and become active yourself. The Sustainability Day is for all interested: students, staff, professors and external guests. Only together can we shape the sustainable development…
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On 15-17 May 2024, "simulation-based inference" (SBI) or "likelihood-free inference" (LFI) methods will be discussed during PHYSTAT 2024. The event will be streamed live. It is supported by the…
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On May 13, MDSI is hosting the Munich Kaggle Meetup. Kaggle is a platform for data science competitions, where you can improve your skills and compete with others to solve real-world problems. Whether…
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This is the fourth workshop dedicated to GraphNeT – A deep learning library for neutrino telescopes. The goal is to bring together researchers working at the intersection of neutrino telescope…
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We are pleased to announce the workshop Getting Started with Microsoft Azure for Bioinformatics. The workshop will cover success stories, a practical session (e.g. for deep learning), and best…
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It is a common belief in the engineering and data science community that data presents neutrality and truth. In this course, we unpack this myth and demonstrate that data and AI systems are both…
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On April 11, the CAUSE Junior Researchers Day will take place, where members of research groups from various universities will give lectures on the topic of causality.
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