Journal of Computational Physics · 2018 · 16.9K citations · 47 references
Natural SciencesComputer SciencePhysicsComputational PhysicsDifferential EquationsMachine LearningDeep LearningInverse ProblemsInverse Problems In MechanicsNeural NetworksPartial Differential EquationsSystems Of Differential EquationsInverse Problem FormulationInverse Problems In Partial Differential EquationsNonlinear Partial Differential EquationsPartial Differential Equation SolversPhysics-informed EstimationPhysics-informed InversionPhysics-informed Modeling
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Adam: A Method for Stochastic Optimization
Diederik P. Kingma, Jimmy Ba · UvA-DARE (University of Amsterdam) · 2014 · 84.8K citations · Full text
Multilayer feedforward networks are universal approximators
Kurt Hornik, Maxwell B. Stinchcombe, Halbert White · Neural Networks · 1989 · 21.2K citations
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martı́n Abadi, Ashish Agarwal, Paul Barham et al. · arXiv (Cornell University) · 2016 · 9.8K citations · Full text
Multilayer feedforward networks are universal approximators
HornikK., StinchcombeM., WhiteH. · Neural Networks · 1989 · 9.4K citations