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Physics-enhanced machine learning with symmetry-adapted and long-range representations

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Physics-enhanced machine learning with symmetry-adapted and long-range representations

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Online Robust Regression via SGD on the l1 loss

Machine learning models of the energy curvature vs particle number for optimal tuning of long-range corrected functionals

Incompleteness of Atomic Structure Representations

Machine-Learning of Atomic-Scale Properties Based on Physical Principles

Better Generic Objects Counting When Asking Questions to Images: A Multitask approach for Remote Sensing Visual Question Answering

Recursive evaluation and iterative contraction of N-body equivariant features

Real-Time Prediction of Students' Activity Progress and Completion Rates

Using Gaussian process regression to simulate the vibrational Raman spectra of molecular crystals

Machine Learning at the Atomic Scale

Machine Learning at the Atomic Scale

Online Robust Regression via SGD on the l1 loss

Machine learning models of the energy curvature vs particle number for optimal tuning of long-range corrected functionals

Machine-Learning of Atomic-Scale Properties Based on Physical Principles

Real-Time Prediction of Students' Activity Progress and Completion Rates

Machine Learning at the Atomic Scale

Using Gaussian process regression to simulate the vibrational Raman spectra of molecular crystals

Machine Learning at the Atomic Scale

Incompleteness of Atomic Structure Representations

Better Generic Objects Counting When Asking Questions to Images: A Multitask approach for Remote Sensing Visual Question Answering

Recursive evaluation and iterative contraction of N-body equivariant features