The Applied Research Talks offer a series of talks where experts from SAP and TUM provide in-depth insights into our ongoing collaborative applied research projects and further interesting research topics. These sessions serve as a bridge between SAP and TUM, fostering collaboration and knowledge exchange in an interactive setting. Each talk delivers a spark of innovation—introducing fresh perspectives on emerging technologies and research-driven advancements that shape the future of enterprise solutions.
Stefanie Jegelka will explain how neural networks are exploited to help in graph optimization problems and hence allow to use this ubiquitious data type for various applications.
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Zeynep Akata is going to talk about her work on Zero-Shot Learning and Explainable Machine Learning, focusing on learning compositional representations of images, generating images and visual features…
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Niki Kilbertus is going to talk about distinguishing causal relationships from mere associations, formalizing this difference, estimating causal relationships from observational data using the…
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Stefanie Rinderle-Ma is going to talk about how generative AI, especially Large Language Models, can enhance business process modeling and discovery by enabling domain experts to create and refine…
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