I'm a PhD student in the van der Schaar lab, a world-leading machine learning (ML) research group at the University of Cambridge. My research focuses on Reinforcement Learning (model-free and model-based), Planning, Control, Transformer Architectures, Large Language Models, Generative Models, Time Series Forecasting, Symbolic Regression (discovery), Continuous-time models (ODEs, Laplace transforms), and applications to healthcare and scientific discovery. Here on GitHub you can find research projects as well as open source software developed in my spare time.
Building the future
PhD Candidate in AI/ML for Medicine, University of Cambridge | Oxford MEng
https://samholt.github.io/
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samuel.holt.direct@gmail.com
- Cambridge, UK
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18:13
(UTC +01:00) - https://samholt.github.io/
- @samianholt
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NeuralLaplace
NeuralLaplace PublicNeural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
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PacktPublishing/Practical-Machine-Learning-with-TensorFlow-2.0-and-Scikit-Learn
PacktPublishing/Practical-Machine-Learning-with-TensorFlow-2.0-and-Scikit-Learn PublicPractical Machine Learning with TensorFlow 2.0 and Scikit-Learn [Video], published by Packt
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