On Problem Formulation, Efficient Modeling and Deep Neural Networks for High-Quality Ultrasound Imaging

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On Problem Formulation, Efficient Modeling and Deep Neural Networks for High-Quality Ultrasound Imaging

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Generalization of Scaled Deep ResNets in the Mean-Field Regime

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Deep Learning Theory Through the Lens of Diagonal Linear Networks

Aggregating Spatial and Photometric Context for Photometric Stereo

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Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

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Machine Learning for Modeling Stock Returns

Optimizing Dynamic Aperture Studies with Active Learning

Random matrix methods for high-dimensional machine learning models

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M2SKD: Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems

Enabling Uncertainty Estimation in Iterative Neural Networks

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Incorporating Projective Geometry into Deep Learning

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms