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08/20/2023
Adaptive Uncertainty-Guided Model Selection for Data-Driven PDE Discovery
We propose a new parameter-adaptive uncertainty-penalized Bayesian infor...
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06/26/2022
Noise-aware Physics-informed Machine Learning for Robust PDE Discovery
This work is concerned with discovering the governing partial differenti...
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04/29/2021
Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations
Recently, researchers have utilized neural networks to accurately solve ...
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03/12/2020
Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting
In this paper, we proposed two modified neural network architectures bas...
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08/28/2017
Efficient Decision Trees for Multi-class Support Vector Machines Using Entropy and Generalization Error Estimation
We propose new methods for Support Vector Machines (SVMs) using tree arc...
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11/30/2016
