1 code implementation • 27 Nov 2021 • Alasdair Tran, Alexander Mathews, Lexing Xie, Cheng Soon Ong
We propose the Factorized Fourier Neural Operator (F-FNO), a learning-based approach for simulating partial differential equations (PDEs).
1 code implementation • 15 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.
no code implementations • 3 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.
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.