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Neural architecture search

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Informing Neural Networks with Simplified Physics for Better Flow Prediction

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

Self-Supervised Bayesian representation learning of acoustic emissions from laser powder bed Fusion process for in-situ monitoring

Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification

Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union

Power Transformer Fault Diagnosis Using Neural Network Optimization Techniques

AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration

Adversarial Training Should Be Cast As a Non-Zero-Sum Game

Hamiltonian Deep Neural Networks Guaranteeing Non-Vanishing Gradients by Design

A benchmark dataset for machine learning in ecotoxicology