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03/01/2023
Single-Cell Multimodal Prediction via Transformers
The recent development of multimodal single-cell technology has made the...
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11/15/2022
Improved disentangled speech representations using contrastive learning in factorized hierarchical variational autoencoder
By utilizing the fact that speaker identity and content vary on differen...
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06/13/2022
Superiority of GNN over NN in generalizing bandlimited functions
We constructively show, via rigorous mathematical arguments, that GNN ar...
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03/03/2022
Graph Neural Networks for Multimodal Single-Cell Data Integration
Recent advances in multimodal single-cell technologies have enabled simu...
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09/14/2020
Themes Informed Audio-visual Correspondence Learning
The applications of short-term user-generated video (UGV), such as Snapc...
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11/10/2019
Manifold Denoising by Nonlinear Robust Principal Component Analysis
This paper extends robust principal component analysis (RPCA) to nonline...
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06/11/2019
The EAS approach for graphical selection consistency in vector autoregression models
As evidenced by various recent and significant papers within the frequen...
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12/31/2018
An Analysis of Classical Multidimensional Scaling
Classical multidimensional scaling is an important tool for dimension re...
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08/30/2016
