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. For more information see https://www.umu.se/en/research/groups/nausica-privacy-aware-transparent-decisions-group-/ Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual
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, describing the resulting models mathematically, and directly analyzing how symmetries affect the training of neural networks. The project is affiliated with the AI/Math track within Wallenberg AI, Autonomous
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autonomous systems. Many machine learning applications are modeled as optimization problems, and as problems become more and more complex, new optimization methods are needed. Within this framework
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). This project will make contributions to an enriching user interaction with autonomous systems in a bidirectional way: (i) users’ interaction enhances the spatial reasoning by the autonomous system; and (ii
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support functions along with good employment conditions. See more information at: https://www.umu.se/en/department-of-computing-science/ The successful candidate will contribute to the Autonomous
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compatible with the M-polyfold structure. The project is a part of the AI-Math track within Wallenberg AI, Autonomous Systems and Software Program (WASP). The PhD student will participate in the WASP graduate
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strategy itself in terms of resource use and recovery time. The PhD Student will contribute to the Autonomous Distributed Systems (ADS) Lab within the Department of Computing Science. The ADS Lab is an
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Analysis with Transducers and Invertible Neural Generators) project, financed by WASP (Wallenberg AI, Autonomous Systems and Software Program). The project conducted in collaboration with the Royal Institute