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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 176–200 of 242 papers

TitleStatusHype
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model—0
Adaptive quadrature schemes for Bayesian inference via active learning—0
On the Modeling and Simulation of Anti-Windup Proportional-Integral Controller—0
Revealing hidden dynamics from time-series data by ODENet—0
Connecting the Dots: Numerical Randomized Hamiltonian Monte Carlo with State-Dependent Event RatesCode0
Maximum likelihood estimation of the Fisher-Bingham distribution via efficient calculation of its normalizing constant—0
Multilevel Monte Carlo with Numerical Smoothing for Robust and Efficient Computation of Probabilities and Densities—0
Hamiltonian neural networks for solving equations of motionCode1
i-flow: High-dimensional Integration and Sampling with Normalizing FlowsCode0
Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-timeCode0
Estimation of Spectral Risk Measures—0
On two ways to use determinantal point processes for Monte Carlo integration—0
Neural Integration of Continuous Dynamics—0
Quasi-Monte Carlo sampling for machine-learning partial differential equations—0
Learning Adaptive Regularization for Image Labeling Using Geometric Assignment—0
All-Action Policy Gradient Methods: A Numerical Integration Approach—0
Meta-Learning Runge-Kutta—0
Discrete time portfolio optimisation managing value at risk under heavy tail return distribution—0
Model inference for Ordinary Differential Equations by parametric polynomial kernel regression—0
Transfer learning enhanced physics informed neural network for phase-field modeling of fracture—0
Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond—0
Structured Variational Inference in Continuous Cox Process ModelsCode0
Convergence Guarantees for Adaptive Bayesian Quadrature Methods—0
A Bulirsch-Stoer algorithm using Gaussian processes—0
Recurrent Neural Networks in the Eye of Differential Equations—0
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