Concept

Half-normal distribution

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Half-normal distribution

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A Theory of Finite-Width Neural Networks: Generalization, Scaling Laws, and the Loss Landscape

Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator

Wasserstein Distributionally Robust Learning

Integrating the Finite Element Method with a Data-Driven Approach for Dam Displacement Prediction

Particle number control for direct simulation Monte-Carlo methodology using kernel estimates

Concrete Dam Displacement Prediction Based on an ISODATA-GMM Clustering and Random Coefficient Model

Fine-Grain Checkpointing with In-Cache-Line Logging

Wasserstein Distributionally Robust Kalman Filtering

Learning to Reconstruct Texture-less Deformable Surfaces from a Single View

Learning to Reconstruct Texture-less Deformable Surfaces from a Single View

Wasserstein Distributionally Robust Learning

Integrating the Finite Element Method with a Data-Driven Approach for Dam Displacement Prediction

A Theory of Finite-Width Neural Networks: Generalization, Scaling Laws, and the Loss Landscape

Learning to Reconstruct Texture-less Deformable Surfaces from a Single View

Concrete Dam Displacement Prediction Based on an ISODATA-GMM Clustering and Random Coefficient Model

Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator

Learning to Reconstruct Texture-less Deformable Surfaces from a Single View

Fine-Grain Checkpointing with In-Cache-Line Logging

Particle number control for direct simulation Monte-Carlo methodology using kernel estimates

Wasserstein Distributionally Robust Kalman Filtering