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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 151–200 of 242 papers

TitleStatusHype
Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problems—0
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
MAGI-X: Manifold-Constrained Gaussian Process Inference for Unknown System Dynamics—0
Mars Entry Trajectory Planning with Range Discretization and Successive Convexification—0
Maximum likelihood estimation of the Fisher-Bingham distribution via efficient calculation of its normalizing constant—0
Median of Means Sampling for the Keister Function—0
Meta-Learning Runge-Kutta—0
Μεταφορά κωδίκων της MATLAB σε προγράμματα C++ για την επίλυση Κανονικών Διαφορικών Εξισώσεων Porting MATLAB routines to C++ for the numerical integration of Ordinary Differential Equations—0
Model-Free Discretisation-Invariant Swap Contracts—0
Model inference for Ordinary Differential Equations by parametric polynomial kernel regression—0
Modelization and numerical approximation of piezoelectric thin shells Part II: Approximation by finite element methods and numerical experiments—0
Modelling the age distribution of longevity leaders—0
Modular addition without black-boxes: Compressing explanations of MLPs that compute numerical integration—0
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its parallelization—0
Neural Integration of Continuous Dynamics—0
Neurally Integrated Finite Elements for Differentiable Elasticity on Evolving Domains—0
Neural network-enhanced integrators for simulating ordinary differential equations—0
`Next Generation' Reservoir Computing: an Empirical Data-Driven Expression of Dynamical Equations in Time-Stepping Form—0
Normal Tempered Stable Processes and the Pricing of Energy Derivatives—0
Novel predator-prey model admitting exact analytical solution—0
Numerical Integration and Dynamic Discretization in Heuristic Search Planning over Hybrid Domains—0
Fast Approximation and Estimation Bounds of Kernel Quadrature for Infinitely Wide Models—0
Numerical Integration on Graphs: where to sample and how to weigh—0
Numerical Predictive Control for Delay Compensation—0
Multilevel Monte Carlo with Numerical Smoothing for Robust and Efficient Computation of Probabilities and Densities—0
Numerical Smoothing with Hierarchical Adaptive Sparse Grids and Quasi-Monte Carlo Methods for Efficient Option Pricing—0
ODE-GS: Latent ODEs for Dynamic Scene Extrapolation with 3D Gaussian Splatting—0
On discretisation drift and smoothness regularisation in neural network training—0
On the Eigenvalue Tracking of Large-Scale Systems—0
On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method—0
On the Modeling and Simulation of Anti-Windup Proportional-Integral Controller—0
On the relation between Gaussian process quadratures and sigma-point methods—0
On the Sampling Problem for Kernel Quadrature—0
Operator-Splitting Methods for Neuromorphic Circuit Simulation—0
Optimization-Informed Neural Networks—0
PECAIQR: A Model for Infectious Disease Applied to the Covid-19 Epidemic—0
PI-Controlled Variable Time-Step Power System Simulation Using an Adaptive Order Differential Transformation Method—0
Discrete time portfolio optimisation managing value at risk under heavy tail return distribution—0
Distributional Gradient Matching for Learning Uncertain Neural Dynamics ModelsCode0
On Numerical Integration in Neural Ordinary Differential EquationsCode0
BoXHED2.0: Scalable boosting of dynamic survival analysisCode0
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