Learning Stable Task Sequences from Demonstration with Linear Parameter Varying Systems and Hidden Markov Models

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Learning Stable Task Sequences from Demonstration with Linear Parameter Varying Systems and Hidden Markov Models

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Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks

Understanding generalization and robustness in modern deep learning

Advancing Self-Supervised Deep Learning for 3D Scene Understanding

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Random matrix methods for high-dimensional machine learning models

Fusing Pre-existing Knowledge and Machine Learning for Enhanced Building Thermal Modeling and Control

Reliable data-driven decision-making through optimal transport

Incorporating Projective Geometry into Deep Learning

System for predicting a prognosis of the neuropsychological and/or neuropsychiatric status in a subject

Robust machine learning for neuroscientific inference

Resource-Efficient Continual Learning for Personalized Online Seizure Detection

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

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Safe Deep Neural Networks

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Partial discharge localization in power transformer tanks using machine learning methods