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Deep learning

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Exploring neural networks and their potential for species distribution modeling

Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states

Continuous-variable neural network quantum states and the quantum rotor model

Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning

A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification

Decentralized learning made easy with DecentralizePy

Efficient approximation of cardiac mechanics through reduced-order modeling with deep learning-based operator approximation

Machine Learning Security in Industry: A Quantitative Survey

Euclid preparation XXII. Selection of quiescent galaxies from mock photometry using machine learning

Combining biophysical models and machine learning to optimize implant geometry and stimulation protocol for intraneural electrodes