Search Results for author: Alexander Mathews

Found 9 papers, 5 papers with code

Factorized Fourier Neural Operators

1 code implementation27 Nov 2021 Alasdair Tran, Alexander Mathews, Lexing Xie, Cheng Soon Ong

The Fourier Neural Operator (FNO) is a learning-based method for efficiently simulating partial differential equations.

Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series

1 code implementation15 Feb 2021 Alasdair Tran, Alexander Mathews, Cheng Soon Ong, Lexing Xie

We introduce Radflow, a novel model that embodies three key ideas: a recurrent neural network to obtain node embeddings that depend on time, the aggregation of the flow of influence from neighboring nodes with multi-head attention, and the multi-layer decomposition of time series.

Imputation Time Series Forecasting

AttentionFlow: Visualising Influence in Networks of Time Series

no code implementations3 Feb 2021 Minjeong Shin, Alasdair Tran, Siqi Wu, Alexander Mathews, Rong Wang, Georgiana Lyall, Lexing Xie

The collective attention on online items such as web pages, search terms, and videos reflects trends that are of social, cultural, and economic interest.

Time Series

UNIPoint: Universally Approximating Point Processes Intensities

no code implementations28 Jul 2020 Alexander Soen, Alexander Mathews, Daniel Grixti-Cheng, Lexing Xie

The proof connects the well known Stone-Weierstrass Theorem for function approximation, the uniform density of non-negative continuous functions using a transfer functions, the formulation of the parameters of a piece-wise continuous functions as a dynamic system, and a recurrent neural network implementation for capturing the dynamics.

Point Processes

Transform and Tell: Entity-Aware News Image Captioning

1 code implementation CVPR 2020 Alasdair Tran, Alexander Mathews, Lexing Xie

We address the first challenge by associating words in the caption with faces and objects in the image, via a multi-modal, multi-head attention mechanism.

Image Captioning Language Modelling

Comparative Document Summarisation via Classification

1 code implementation6 Dec 2018 Umanga Bista, Alexander Mathews, Minjeong Shin, Aditya Krishna Menon, Lexing Xie

This paper considers extractive summarisation in a comparative setting: given two or more document groups (e. g., separated by publication time), the goal is to select a small number of documents that are representative of each group, and also maximally distinguishable from other groups.

Classification General Classification +1

SemStyle: Learning to Generate Stylised Image Captions using Unaligned Text

1 code implementation CVPR 2018 Alexander Mathews, Lexing Xie, Xuming He

We develop a model that learns to generate visually relevant styled captions from a large corpus of styled text without aligned images.

Image Captioning Language Modelling

Simplifying Sentences with Sequence to Sequence Models

no code implementations15 May 2018 Alexander Mathews, Lexing Xie, Xuming He

We simplify sentences with an attentive neural network sequence to sequence model, dubbed S4.

Style Transfer Text Generation +1

SentiCap: Generating Image Descriptions with Sentiments

no code implementations6 Oct 2015 Alexander Mathews, Lexing Xie, Xuming He

We design a system to describe an image with emotions, and present a model that automatically generates captions with positive or negative sentiments.

Decision Making Image Captioning +1

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