Sustainability and Machine Learning Group
Sustainability and Machine Learning Group
Home
Team
Publications
Blog
Teaching
Talks
News
Openings
1
Matérn Gaussian Processes on Graphs
Gaussian processes are a versatile framework for learning unknown functions in a manner that permits one to utilize prior information …
Viacheslav Borovitskiy
,
Iskander Azangulov
,
Alexander Terenin
,
Peter Mostowsky
,
Marc Deisenroth
,
Nicolas Durrande
PDF
Cite
Code
Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech Revolution
Sahan Bulathwela
,
Marı́a Pérez-Ortiz
,
Catherine Holloway
,
John Shawe-Taylor
Cite
PEEK: A Large Dataset of Learner Engagement with Educational Videos
Sahan Bulathwela
,
Maria Perez-Ortiz
,
Erik Novak
,
Emine Yilmaz
,
John Shawe-Taylor
Cite
Progress in Self-Certified Neural Networks
Maria Perez-Ortiz
,
Omar Rivasplata
,
Emilio Parrado-Hernandez
,
Benjamin Guedj
,
John Shawe-Taylor
Cite
Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation Systems
Sahan Bulathwela
,
Marı́a Pérez-Ortiz
,
Emine Yilmaz
,
John Shawe-Taylor
Cite
Symbolic Parallel Adaptive Importance Sampling for Probabilistic Program Analysis
Probabilistic software analysis aims at quantifying the probability of a target event occurring during the execution of a program …
Yicheng Luo
,
Antonio Filieri
,
Yuan Zhou
PDF
Cite
DOI
X5Learn: A Personalised Learning Companion at the Intersection of AI and HCI
Marı́a Pérez-Ortiz
,
Claire Dormann
,
Yvonne Rogers
,
Sahan Bulathwela
,
Stefan Kreitmayer
,
Emine Yilmaz
,
Richard Noss
,
John Shawe-Taylor
Cite
Matérn Gaussian Processes on Riemannian Manifolds
Gaussian processes are an effective model class for learning unknown functions, particularly in settings where accurately representing …
Viacheslav Borovitskiy
,
Alexander Terenin
,
Peter Mostowsky
,
Marc Deisenroth
PDF
Cite
Code
Probabilistic Active Meta-Learning
Data-efficient learning algorithms are essential in many practical applications where data collection is expensive, e.g., in robotics …
Jean Kaddour
,
Steindór Sæmundsson
,
Marc Deisenroth
PDF
Cite
Code
Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models
Nonparametric extensions of topic models such as Latent Dirichlet Allocation, including Hierarchical Dirichlet Process (HDP), are often …
Alexander Terenin
,
Måns Magnusson
,
Leif Jonsson
PDF
Cite
«
»
Cite
×