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Henry Gouk is a Lecturer in Machine Learning at The University of Edinburgh, Department of Computer Science. His work focuses on machine learning, though specific research areas are not detailed in available sources. He is affiliated with the university and maintains a profile page at https://www.ed.ac.uk/Henry_Gouk.html. Contact information for Henry Gouk is provided via email at henry.gouk@ed.ac.uk.


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Henry Gouk is an Assistant Professor at the University of Edinburgh, specializing in Artificial Intelligence, Machine Learning, AI Engineering, and Trustworthy AI. His research focuses on improving the robustness, generalization, and reliability of deep learning models through techniques such as regularisation, self-supervised learning, and domain generalization. He explores methods to enhance model performance in real-world scenarios, including few-shot learning, adversarial robustness, and transfer learning. His work also addresses challenges in medical text analysis and autonomous decision-making systems. Gouk's publications highlight the importance of invariance, loss function learning, and meta-learning in building adaptable and trustworthy AI systems.

Source: google_scholar · 96 words
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