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11/27/2021
Factorized Fourier Neural Operators
The Fourier Neural Operator (FNO) is a learning-based method for efficie...
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02/15/2021
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series
We propose a new model for networks of time series that influence each o...
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02/03/2021
AttentionFlow: Visualising Influence in Networks of Time Series
The collective attention on online items such as web pages, search terms...
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07/28/2020
Universal Approximation with Neural Intensity Point Processes
We propose a class of neural network models that universally approximate...
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04/17/2020
Transform and Tell: Entity-Aware News Image Captioning
We propose an end-to-end model which generates captions for images embed...
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12/06/2018
Comparative Document Summarisation via Classification
This paper considers extractive summarisation in a comparative setting: ...
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05/18/2018
SemStyle: Learning to Generate Stylised Image Captions using Unaligned Text
Linguistic style is an essential part of written communication, with the...
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05/15/2018
Simplifying Sentences with Sequence to Sequence Models
We simplify sentences with an attentive neural network sequence to seque...
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10/06/2015
