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description Our societies rely on computer systems, and increasingly so. Unfortunately, computer systems can be the target of malicious applications—malware. These malicious applications can be complicated
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the flexibility of neural methods. If successful, the work has the potential to advance applications such as automated theorem proving, knowledge-graph inference, and causal analysis. The Department of Computing
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models also provide uncertainty estimates in the model and its predictions, allowing the confidence in automated decisions to be evaluated. The goal of this project is therefore to develop learning
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