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Topics in machine learning

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A Theory of Finite-Width Neural Networks: Generalization, Scaling Laws, and the Loss Landscape

Gradient boosting with extreme-value theory for wildfire prediction

Generating Controlled Physics-Informed Time-to-failure Trajectories for Prognostics in Unseen Operational Conditions

Robust Outlier Rejection for 3D Registration with Variational Bayes

An instance-based learning approach for evaluating the perception of ride-hailing waiting time variability

Estimating and Improving the Robustness of Attributions in Text

Discriminative Deep Feature Visualization for Explainable Face Recognition

Short-term runoff forecasting in an alpine catchment with a long short-term memory neural network

Biomass to energy: a machine learning model for optimum gasification pathways

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