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Artificial Neural Networks for Impact Position Detection in Haptic Surfaces

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Artificial Neural Networks for Impact Position Detection in Haptic Surfaces

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Breaking the Curse of Dimensionality in Deep Neural Networks by Learning Invariant Representations

A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods

Keep Sensors in Check: Disentangling Country-Level Generalization Issues in Mobile Sensor-Based Models with Diversity Scores

Leveraging topology, geometry, and symmetries for efficient Machine Learning

Local Kernel Regression and Neural Network Approaches to the Conformational Landscapes of Oligopeptides

Using Machine Learning to Predict Mortality for COVID-19 Patients on Day 0 in the ICU

Population pharmacokinetic model selection assisted by machine learning

Loss landscape and symmetries in Neural Networks

Social NCE: Contrastive Learning of Socially-aware Motion Representations

Discovery of slow variables in a class of multiscale stochastic systems via neural networks