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math-ph2025
Physics-Informed Mixture Models and Surrogate Models for Precision Additive Manufacturing
Sebastian Basterrech, Shuo Shan, Debabrata Adhikari +1
In this study, we leverage a mixture model learning approach to identify defects in laser-based Additive Manufacturing (AM) processes. By incorporating physics based principles, we…
cs.LG2025
An AutoML Framework using AutoGluonTS for Forecasting Seasonal Extreme Temperatures
Pablo Rodríguez-Bocca, Guillermo Pereira, Diego Kiedanski +3
In recent years, great progress has been made in the field of forecasting meteorological variables. Recently, deep learning architectures have made a major breakthrough in forecast…