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个人简介
In a broad perspective, my main research ambition is to understand the fundamental computational principles of learning that characterize intelligence. More specifically, my research interests are focussed on the development, analysis, and application of deep learning models and methods. I am particularly interested in analysing and developing probabilistic models and inference methods, investigating biologically plausible deep learning, and understanding the stochastic processes involved in the training and optimisation of neural networks and probabilistic models.
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ICLR 2024 (2024)
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2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023): 3894-3902
CoRR (2023)
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