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06/19/2023
Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics
Identifying the relationship between healthcare attributes, lifestyles, ...
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03/28/2023
TabRet: Pre-training Transformer-based Tabular Models for Unseen Columns
We present TabRet, a pre-trainable Transformer-based model for tabular d...
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04/15/2022
Universal approximation property of invertible neural networks
Invertible neural networks (INNs) are neural network architectures with ...
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08/03/2021
Fast Estimation Method for the Stability of Ensemble Feature Selectors
It is preferred that feature selectors be stable for better interpretabi...
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12/04/2020
Universal Approximation Property of Neural Ordinary Differential Equations
Neural ordinary differential equations (NODEs) is an invertible neural n...
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06/20/2020
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators
Invertible neural networks based on coupling flows (CF-INNs) have variou...
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06/15/2020
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
It is known that the current graph neural networks (GNNs) are difficult ...
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06/12/2020
Weisfeiler-Lehman Embedding for Molecular Graph Neural Networks
A graph neural network (GNN) is a good choice for predicting the chemica...
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09/30/2019
Graph Residual Flow for Molecular Graph Generation
Statistical generative models for molecular graphs attract attention fro...
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05/27/2019
On Asymptotic Behaviors of Graph CNNs from Dynamical Systems Perspective
Graph Convolutional Neural Networks (graph CNNs) are a promising deep le...
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03/24/2019
Approximation and Non-parametric Estimation of ResNet-type Convolutional Neural Networks
Convolutional neural networks (CNNs) have been shown to achieve optimal ...
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11/28/2017