Patching in Order: Efficient On-Device Model Fine-Tuning for Multi-DNN Vision Applications

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Patching in Order: Efficient On-Device Model Fine-Tuning for Multi-DNN Vision Applications

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Macroeconomic Conditioned Synthetic Financial Markets

Using Motion Cues to Supervise Single-Frame Body Pose and Shape Estimation in Low Data Regimes

Understanding generalization and robustness in modern deep learning

Optimal distributed control with stability guarantees by training a network of neural closed-loop maps

A generalized machine learning framework to estimate fatigue life across materials with minimal data

Electronic Excited States from Physically Constrained Machine Learning

Learning-based Hand Gesture Classification using Channel Impulse Response with UWB

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