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Materials scientists can learn a lot about a sample material by shooting lasers at it. With nonlinear optical microscopy—a ...
Abstract: In this paper, we analyze the local identifiability of parameters in linear systems whose system matrix is given by a graph Laplacian. Graph Laplacian is a matrix given by a graph and the ...
Abstract: Accurately modeling the interactions between deformable linear objects (DLOs) and their environments is crucial for active deformation control by robot manipulators. Graph Neural Networks ...
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