I am a 4th year (Part III) mathematics student at the University of Cambridge, broadly interested in understanding intelligent systems and the principles underlying learning in artificial neural networks. I am also interested in mathematical formalisms of intelligent behaviour based on approximate Bayesian methods – specifically, based on variational inference (see this post) – as well as neuro-inspired methods of representation learning (such as predictive coding) and reward-based learning, in pursuit of systems capable of efficient learning and reasoning.
Posts
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Variational framework for perception and action
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Architectures by symmetry
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Free-energy
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Understanding HTM
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Brief notes on spiking neuron models
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Credit assignment
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