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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 101–150 of 242 papers

TitleStatusHype
Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond—0
Symbolic-Numeric Computation of Integrals in Successive Galerkin Approximation of Hamilton-Jacobi-Bellman Equation—0
Symplectic Gaussian Process Regression of Hamiltonian Flow Maps—0
Targeting Bayes factors with direct-path non-equilibrium thermodynamic integration—0
Temporal Subsampling Diminishes Small Spatial Scales in Recurrent Neural Network Emulators of Geophysical Turbulence—0
A Renormalization Group Approach to Connect Discrete- and Continuous-Time Descriptions of Gaussian Processes—0
The mixed deep energy method for resolving concentration features in finite strain hyperelasticity—0
Time-Reversible Bridges of Data with Machine Learning—0
Time-vectorized numerical integration for systems of ODEs—0
Towards a Unified Quadrature Framework for Large-Scale Kernel Machines—0
Towards Hyperparameter-Agnostic DNN Training via Dynamical System Insights—0
Transfer learning enhanced physics informed neural network for phase-field modeling of fracture—0
Two-locus clines on the real line with a step environment—0
Understanding step selection analysis through numerical integration—0
What ODE-Approximation Schemes of Time-Delay Systems Reveal about Lyapunov-Krasovskii Functionals—0
Why Local Search Excels in Expression Simplification—0
Domain-decoupled Physics-informed Neural Networks with Closed-form Gradients for Fast Model Learning of Dynamical Systems—0
Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features—0
Efficient Modeling of Morphing Wing Flight Using Neural Networks and Cubature Rules—0
Efficient Solution of Boolean Satisfiability Problems with Digital MemComputing—0
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems—0
Estimating and Assessing Differential Equation Models with Time-Course Data—0
Estimation of Spectral Risk Measures—0
Exploration of methods for computing sensitivities in ODE models at dynamic and steady states—0
Extracting Dynamical Models from Data—0
Fast and accurate approximation of the full conditional for gamma shape parameters—0
Fast Approximate Bayesian Computation for Estimating Parameters in Differential Equations—0
Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models—0
Fast Empirical Scenarios—0
Fast swaption pricing in Gaussian term structure models—0
Least-Squares Neural Network (LSNN) Method For Scalar Nonlinear Hyperbolic Conservation Laws: Discrete Divergence Operator—0
Fitting mixed logit random regret minimization models using maximum simulated likelihood—0
Flow-based density of states for complex actions—0
Flow map matching with stochastic interpolants: A mathematical framework for consistency models—0
Flow Segmentation in Dense Crowds—0
Gaussian Processes and Reproducing Kernels: Connections and Equivalences—0
Gauss-Legendre Features for Gaussian Process Regression—0
Generalized Score Matching for Non-Negative Data—0
Geometry-preserving Lie Group Integrators For Differential Equations On The Manifold Of Symmetric Positive Definite Matrices—0
Ridge Regression with Over-Parametrized Two-Layer Networks Converge to Ridgelet Spectrum—0
Graph Spring Neural ODEs for Link Sign Prediction—0
HEPGAME and the Simplification of Expressions—0
Implementation and (Inverse Modified) Error Analysis for implicitly-templated ODE-nets—0
Implementation of a practical Markov chain Monte Carlo sampling algorithm in PyBioNetFit—0
Implicit Function Theorem: Estimates on the size of the domain—0
Importance Sampling With Stochastic Particle Flow and Diffusion Optimization—0
Improved Calibration of Numerical Integration Error in Sigma-Point Filters—0
Invariant Priors for Bayesian Quadrature—0
Inverse Cubature and Quadrature Kalman filters—0
Inverse Nonlinearity Compensation of Hyperelastic Deformation in Dielectric Elastomer for Acoustic Actuation—0
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