Publications

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Adrià Garriga-Alonso, supervised by Carl Rasmussen. Priors in finite and infinite Bayesian convolutional neural networks. PhD Thesis, 2022.

David R. Burt, Sebastian W. Ober, Adrià Garriga-Alonso, Mark van der Wilk. Understanding Variational Inference in Function-Space. Submitted to AABI, 2020.

Adrià Garriga-Alonso, Carl Edward Rasmussen, Laurence Aitchison. Deep Convolutional Networks as shallow Gaussian Processes. Poster in ICLR, 2019.

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Adrià Garriga-Alonso, supervised by Mihaela van der Schaar. Probability density imputation of missing data with Gaussian Mixture Models. MSc Thesis, 2017.

Adrià Garriga-Alonso, supervised by Anders Jonsson. Solving Montezuma's Revenge with Planning and Reinforcement Learning. BSc Thesis, 2016.

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