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to understand the effect of symmetric data on the training of neural networks. This will be the overarching goal of the post doc. The problem can be approached from many different angles. We are mainly interested
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Professor, one Associate Professor, three staff scientists, two post-docs, and six PhD students. The group is positioned at the Department of Physics at Umeå University; and it has through the department’s
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Professor, one Associate Professor, three staff scientists, two post-docs, and six PhD students. The group is positioned at the Department of Physics at Umeå University; and it has through the department’s
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stochastic constraints, Implicit regularization in neural networks, Optimization with quantum computation, Distributed optimization and federated learning, Operator splitting methods in optimization, Continual