Our postdoc Milan Papež and his colleagues succeeded with research on incorporating graph input into sum-product networks. This method can help in AI applications that require tractable probabilistic inference, such as generating new molecules conditionally on existing ones.
Johannes Aspman
I hold a PhD in Theoretical physics and mathematics from Trinity College Dublin where I worked on dualities in supersymmetric field theories, modular forms, black holes in String Theory and topological quantum field theory. I currently work in the Optimization research group in AIC.
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