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03/24/2023
Applications of Gaussian Processes at Extreme Lengthscales: From Molecules to Black Holes
In many areas of the observational and experimental sciences data is sca...
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01/31/2023
Mathematical Capabilities of ChatGPT
We investigate the mathematical capabilities of ChatGPT by testing it on...
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03/14/2022
Extracting associations and meanings of objects depicted in artworks through bi-modal deep networks
We present a novel bi-modal system based on deep networks to address the...
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11/24/2021
Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion
Models of human motion commonly focus either on trajectory prediction or...
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07/22/2021
Data Considerations in Graph Representation Learning for Supply Chain Networks
Supply chain network data is a valuable asset for businesses wishing to ...
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06/07/2021
High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning
We introduce a method based on deep metric learning to perform Bayesian ...
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05/06/2021
Dataset Bias in the Natural Sciences: A Case Study in Chemical Reaction Prediction and Synthesis Design
Datasets in the Natural Sciences are often curated with the goal of aidi...
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02/04/2021
Computational identification of significant actors in paintings through symbols and attributes
The automatic analysis of fine art paintings presents a number of novel ...
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01/30/2021
Resolution enhancement in the recovery of underdrawings via style transfer by generative adversarial deep neural networks
We apply generative adversarial convolutional neural networks to the pro...
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12/15/2020
Are we Forgetting about Compositional Optimisers in Bayesian Optimisation?
Bayesian optimisation presents a sample-efficient methodology for global...
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10/02/2020
Gaussian Process Molecule Property Prediction with FlowMO
We present FlowMO: an open-source Python library for molecular property ...
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10/17/2019
Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic Bayesian Optimisation
Bayesian optimisation is an important decision-making tool for high-stak...
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05/16/2019
Adaptive Sensor Placement for Continuous Spaces
We consider the problem of adaptively placing sensors along an interval ...
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09/16/2017
