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07/26/2023
Good Lattice Training: Physics-Informed Neural Networks Accelerated by Number Theory
Physics-informed neural networks (PINNs) offer a novel and efficient app...
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11/26/2022
Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model
Semantic editing of images is the fundamental goal of computer vision. A...
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10/01/2022
FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities
Many real-world dynamical systems are associated with first integrals (a...
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07/20/2022
Cancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder
Defining and separating cancer subtypes is essential for facilitating pe...
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06/22/2022
Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization
Cancer subtyping is crucial for understanding the nature of tumors and p...
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12/28/2021
An Error Analysis Framework for Neural Network Modeling of Dynamical Systems
We propose a theoretical framework for investigating a modeling error ca...
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02/22/2021
Universal Approximation Properties of Neural Networks for Energy-Based Physical Systems
In Hamiltonian mechanics and the Landau theory, many physical phenomena ...
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02/19/2021
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory
A neural network model of a differential equation, namely neural ODE, ha...
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12/04/2020
ChartPointFlow for Topology-Aware 3D Point Cloud Generation
A point cloud serves as a representation of the surface of a three-dimen...
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10/15/2019
Target-Oriented Deformation of Visual-Semantic Embedding Space
Multimodal embedding is a crucial research topic for cross-modal underst...
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05/24/2019
Generative adversarial network based on chaotic time series
Generative adversarial network (GAN) is gaining increased importance in ...
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04/09/2019
Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval Task
With the wide development of black-box machine learning algorithms, part...
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11/22/2018
Data Augmentation using Random Image Cropping and Patching for Deep CNNs
Deep convolutional neural networks (CNNs) have achieved remarkable resul...
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07/16/2018
Anomaly Machine Component Detection by Deep Generative Model with Unregularized Score
One of the most common needs in manufacturing plants is rejecting produc...
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12/18/2017