Search Results for author: Alasdair Tran

Found 4 papers, 3 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

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

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