Classification of tokamak plasma confinement states with convolutional recurrent neural networks

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Classification of tokamak plasma confinement states with convolutional recurrent neural networks

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Progress in the development of the ITER baseline scenario in TCV

Study of impurity C transport and plasma rotation in negative triangularity on the TCV tokamak

Topics in statistical physics of high-dimensional machine learning

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

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

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

Partial discharge localization in power transformer tanks using machine learning methods

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Detecting Road Obstacles by Erasing Them

Model reduction of coupled systems based on non-intrusive approximations of the boundary response maps