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Towards Understanding Robustness of Neural Networks using Local Learning Rules
Analytic description for synchronization of two-level quantum systems
Transport in the one-dimensional spin-S XXZ model
Analysis of the Functional Role of Directed Simplicial Structures in Biological Neural Networks
Finite Element and Neural Network Solvers for Modelling Microcirculation
A Novel Application of Machine Learning to Develop Pointing Models for Current and Future Radio/Sub-millimeter Telescopes
Classification and feature Regression for Multi-Phase Flow Regimes
Constrained folding dynamics: a generalized model for labyrinth pattern development
Deployment of semi-unsupervised learning in the search for new physics at the LHC with the ATLAS detector
Application of Supervised Machine Learning to the Search for New Physics in ATLAS data
Predicting Frictional Properties of Graphene Kirigami Using Molecular Dynamics and Neural Networks