Benign Overfitting in Deep Neural Networks under Lazy Training

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Benign Overfitting in Deep Neural Networks under Lazy Training

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

Partial discharge localization in power transformer tanks using machine learning methods

Robust NAS under adversarial training: benchmark, theory, and beyond

The neural correlates of topographical disorientation-a lesion analysis study

33.3 MiBMI: A 192/512-Channel 2.46mm² Miniaturized Brain-Machine Interface Chipset Enabling 31-Class Brain-to-Text Conversion Through Distinctive Neural Codes

Gibbs sampling the posterior of neural networks

Enabling Uncertainty Estimation in Iterative Neural Networks

Residual-based attention in physics-informed neural networks

Robust machine learning for neuroscientific inference

A theory of memory consolidation and synaptic pruning in cortical circuits