32 citations · 93 across the 10 of their papers we have counts for
10 papers
Factorized Fourier Neural Operators
Alasdair Tran, Alexander Mathews, Lexing Xie +1
We propose the Factorized Fourier Neural Operator (F-FNO), a learning-based approach for simulating partial differential equations (PDEs). Starting from a recently proposed Fourier…
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series
Alasdair Tran, Alexander Mathews, Cheng Soon Ong +1
We propose a new model for networks of time series that influence each other. Graph structures among time series are found in diverse domains, such as web traffic influenced by hyp…
AttentionFlow: Visualising Influence in Networks of Time Series
Minjeong Shin, Alasdair Tran, Siqi Wu +4
The collective attention on online items such as web pages, search terms, and videos reflects trends that are of social, cultural, and economic interest. Moreover, attention trends…
SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy
Umanga Bista, Alexander Patrick Mathews, Aditya Krishna Menon +1
Most work on multi-document summarization has focused on generic summarization of information present in each individual document set. However, the under-explored setting of update…
UNIPoint: Universally Approximating Point Processes Intensities
Alexander Soen, Alexander Mathews, Daniel Grixti-Cheng +1
Point processes are a useful mathematical tool for describing events over time, and so there are many recent approaches for representing and learning them. One notable open questio…
Transform and Tell: Entity-Aware News Image Captioning
Alasdair Tran, Alexander Mathews, Lexing Xie
We propose an end-to-end model which generates captions for images embedded in news articles. News images present two key challenges: they rely on real-world knowledge, especially…