Alumni
Students from previous cohorts of the programme
 Carl Allen - Cohort 2016PhD Thesis Title: Towards a Theoretical Understanding of Word and Relation Representation |
 Antreas Antoniou - Cohort 2016PhD Thesis Title: Meta Learning for Supervised and Unsupervised Few-Shot Learning |
 Ivana Balazevic - Cohort 2016PhD Thesis Title: Learning Representations of Entities and Relations |
 Artur Bekasovs - Cohort 2016PhD Thesis Title: Accurate and reliable probabilistic modelling with high-dimensional data |
 Emmanuel Bernieri - Cohort 2017PhD Thesis Title: Bayesian Density Regression with Functional Covariates - Modelling and Visualisation |
 Michael P. J. Camilleri - Cohort 2017PhD Thesis Title: Automated Identification and Behaviour Classification for Modelling Social Dynamics in Group-Housed Mice |
 Juan Casanova - Cohort 2016PhD Thesis Title: Meta-ontology fault detection |
 Luke Darlow - Cohort 2017PhD Thesis Title: Learning reliable representations when proxy objectives fail |
 Ryan Davies - Cohort 2015MSc(R) Dissertation Title: Machine learning, neural networks and natural language processing, particularly for information extraction |
 Conor Durkan - Cohort 2016PhD Thesis Title: Neural Distribution Estimation as a Two-Part Problem |
 Simao Eduardo - Cohort 2015PhD Thesis Title: Data Cleaning with Variational Autoencoders |
 Harrison Edwards- Cohort 2014MSc(R) Dissertation Title: Representation learning using deep neural networks
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 Sona Galovicova - Cohort 2015MSc(R) Dissertation Title: Analysis of techniques for coarse-to-fine decoding in neural machine translation
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 Sorcha Gilroy - Cohort 2014PhD Thesis Title: Probalistic graph formalisms for meaning representations |
 Maria Gorinova - Cohort 2016PhD Thesis Title: Program Analysis of Probabilistic Programs |
 Zack Hodari - Cohort 2016PhD Thesis Title: Synthesising prosody with insufficient context |
 Borislav Ikonomov - Cohort 2014MPhil Dissertation Title: Robust Optimisation Monte-CarlocARL
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 Miguel Jaques - Cohort 2017PhD Thesis Title: Visual System Identification: Learning Physical Parameters and Latent Spaces from Pixels |
 Andreas Kapourani - Cohort 2014PhD Thesis Title: Spatial Statistical Modelling of Epigenomic Variability
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 Rafael-Michael Karampatsis - Cohort 2014PhD Thesis Title: Scalable Deep Learning for Bug Detection |
 Steven Kleinegesse - Cohort 2017PhD Thesis Title: Bayesian Experimental Design for Implicit Models using Mutual Information
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 Jonathan Mallinson - Cohort 2015PhD Thesis Title: Universal Rewriting via Machine Translation |
 Christos Maniatis - Cohort 2017PhD Thesis Title: Probabilistic Modelling of Single Cell Multi-Omics Data
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 Jozef Mokry - Cohort 2015MSc(R) Dissertation Title: Pipeline-tolerant Decoder |
 Charlie Nash - Cohort 2014PhD Thesis Title: Unsupervised learning with neural latent variable models
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 Silviu Oprea - Cohort 2017PhD Thesis Title: Computational Sarcasm Detection and Understanding in Online Communication |
 James Owers - Cohort 2015MSc(R) Dissertation Title: Deep learning with application to harmonic instruments and music |
 George Papamakarios - Cohort 2014PhD Thesis Title: Neural density estimation and likelihood-free inference
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 Theo Pavlakou - Cohort 2014MSc(R) Dissertation Title: Developing Tractable Density Estimation Models |
 Eleanor Platt - Cohort 2018Msc(R) Dissertation Title: Explainable Deep Learning for Brain CT Images |
 Matt Pugh - Cohort 2014PhD Thesis Title: Hotscotch: Exploiting Workload Characteristics to Improve Read-Throughput
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 Ben Rhodes - Cohort 2017PhD Thesis Title: Advances in scalable learning and sampling of unnormalised models |
 Alexander Robertson - Cohort 2016PhD Thesis Title: Expression and perception of identity through skin-toned emoji |
 Benedek Rózemberczki - Cohort 2016PhD Thesis Title: Graph Mining on Static, Multiplex and Attributed Networks |
 Denitsa Saynova - Cohort 2014MSc(R) Dissertation Title: Machine learning and inferring cosmological parameters
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 Philippa Shoemark - Cohort 2014PhD Thesis Title: Discovering and analysing lexical variation in social media text
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 Mica Teo - Cohort 2018PhD Thesis Title: Bayesian scalar-on-image regression via random image partition models: Automatic identification of regions of interest |
 Etienne Toussaint - Cohort 2017PhD Thesis Title: Toward relevant answers to queries on incomplete databases |
 Clara Vania - Cohort 2014PhD Thesis Title: On Understanding Character-level Models for Representing Morphology |
 Yanghao Wang - Cohort 2016PhD Thesis Title: On the Volume and Veracity of Big and Shared Data |
 Jennifer Williams - Cohort 2017PhD Thesis Title: Learning Disentangled Speech Representations |
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