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Autoencoder

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Autoencoder

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Physics-informed neural networks for diffraction tomography

Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting

Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks

Remote sensing visual question answering with a self-attention multi-modal encoder

Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs

Discriminative clustering with representation learning with any ratio of labeled to unlabeled data

RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior

Image Denoising with Control over Deep Network Hallucination

End-to-End Task-Oriented Dialog Modeling With Semi-Structured Knowledge Management

Machine learning for metallurgy V: A neural-network potential for zirconium