Emily Dent

Emily Dent is a Research Fellow in the Department of Mathematics at the University of Oxford. She is affiliated with the Mathematical Institute and is associated with the Machine Learning and Data Science research group. Her work focuses on Numerical Analysis. Dent is a postgraduate student at the university and is based at the Andrew Wiles Building, Radcliffe Observatory Quarter, Oxford.

Emily Dent is a DPhil student at the University of Oxford, specializing in the Mathematics of Machine Learning. Her research focuses on understanding and improving the training stability of deep neural networks, particularly in sparsely activated architectures. Through rigorous mathematical analysis, she investigates how controlling variance can enhance the performance and reliability of deep learning models. Her work contributes to the broader field of machine learning by addressing critical challenges in model training and optimization. By combining theoretical insights with practical applications, Dent aims to advance the mathematical foundations that underpin modern artificial intelligence systems.