
Universal Approximation Properties of Neural Networks for EnergyBased Physical Systems
In Hamiltonian mechanics and the Landau theory, many physical phenomena ...
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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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ChartPointFlow for TopologyAware 3D Point Cloud Generation
A point cloud serves as a representation of the surface of a threedimen...
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TargetOriented Deformation of VisualSemantic Embedding Space
Multimodal embedding is a crucial research topic for crossmodal underst...
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Generative adversarial network based on chaotic time series
Generative adversarial network (GAN) is gaining increased importance in ...
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Exploring Uncertainty Measures for ImageCaption EmbeddingandRetrieval Task
With the wide development of blackbox machine learning algorithms, part...
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Data Augmentation using Random Image Cropping and Patching for Deep CNNs
Deep convolutional neural networks (CNNs) have achieved remarkable resul...
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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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Deep Neural Generative Model of Functional MRI Images for Psychiatric Disorder Diagnosis
Accurate diagnosis of psychiatric disorders plays a critical role in imp...
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Takashi Matsubara
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