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Numerical Integration

Numerical integration is the task to calculate the numerical value of a definite integral or the numerical solution of differential equations.

Papers

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Showing 151–160 of 242 papers

TitleStatusHype
Kernel Neural Operators (KNOs) for Scalable, Memory-efficient, Geometrically-flexible Operator Learning—0
Learned Cone-Beam CT Reconstruction Using Neural Ordinary Differential Equations—0
Learning Adaptive Regularization for Image Labeling Using Geometric Assignment—0
Learning Dynamics from Noisy Measurements using Deep Learning with a Runge-Kutta Constraint—0
Learning nonlinear integral operators via Recurrent Neural Networks and its application in solving Integro-Differential Equations—0
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model—0
Least-Squares ReLU Neural Network (LSNN) Method For Scalar Nonlinear Hyperbolic Conservation Law—0
LiFe-net: Data-driven Modelling of Time-dependent Temperatures and Charging Statistics Of Tesla's LiFePo4 EV Battery—0
A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel—0
Machine learning prediction for mean motion resonance behaviour -- The planar case—0
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