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

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

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Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

Integer Linear Programming for Unsupervised Training Set Selection in Molecular Machine Learning

Random matrix methods for high-dimensional machine learning models

MammAlps: A multi-view video behavior monitoring dataset of wild mammals in the Swiss Alps

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life

Adapting Fine-Grained Cross-View Localization to Areas Without Fine Ground Truth

Investigating neural resource allocation in the sensorimotor control of extra limbs

A Reconfigurable High-Dynamic Range ∆Σ Front-End with Event-Based Decimation for Bandwidth-Efficient Implantable Neural Interfaces

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

Topics in statistical physics of high-dimensional machine learning

Robust time series denoising with learnable wavelet packet transform

Safe Deep Neural Networks

Gibbs sampling the posterior of neural networks

On the number of regions of piecewise linear neural networks

Generalization of Scaled Deep ResNets in the Mean-Field Regime

On the different regimes of stochastic gradient descent

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

The neural correlates of topographical disorientation-a lesion analysis study

Aggregating Spatial and Photometric Context for Photometric Stereo

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning