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Self-Supervised Bayesian representation learning of acoustic emissions from laser powder bed Fusion process for in-situ monitoring

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Self-Supervised Bayesian representation learning of acoustic emissions from laser powder bed Fusion process for in-situ monitoring

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Understanding generalization and robustness in modern deep learning

Training hybrid neural networks with multimode optical nonlinearities using digital twins

Using deep reinforcement learning to investigate stretch feedback during swimming of the lamprey

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

GraphFedAI framework for DDoS attack detection in IoT systems using federated learning and graph based artificial intelligence

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Feature-based encoding of face identity by single neurons in the human amygdala and hippocampus

Learning Informative Health Indicators Through Unsupervised Contrastive Learning

Partial Assistance with Lower-Limb Exoskeletons to Enhance Gait and Balance in Daily Living Activities

Residual-based attention in physics-informed neural networks

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Partial discharge localization in power transformer tanks using machine learning methods

Social Opinion Formation and Decision Making Under Communication Trends

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

Robust machine learning for neuroscientific inference

Self-supervised air quality estimation with graph neural network assistance and attention enhancement

Boosting likelihood learning with event reweighting

Topics in statistical physics of high-dimensional machine learning

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