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, recurrent memory, Bayesian modelling, uncertainty quantification and machine learning systems. Emphasis will be on methods that design and implement new architectures for (auto-regressive) sequence modelling
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methods & uncertainty quantification LLMs & multi-modal models Graph neural networks (GNNs) Reinforcement learning Edge AI & model optimisation Trustworthy AI (explainability, auditability, privacy
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(PINNs) and surrogate modelling Time-series modelling and anomaly detection Bayesian methods and uncertainty quantification Graph Neural Networks (GNNs) Spatiotemporal data engineering Digital twins and
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