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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 51–100 of 242 papers

TitleStatusHype
Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation—0
Bounds and Approximations for the Distribution of a Sum of Lognormal Random Variables—0
Probabilistic Flux Limiters—0
Auto-Calibration and 2D-DOA Estimation in UCAs via an Integrated Wideband Dictionary—0
Probabilistic Numeric SMC Sampling for Bayesian Nonlinear System Identification in Continuous Time—0
A monotone piecewise constant control integration approach for the two-factor uncertain volatility model—0
Combining Normalizing Flows and Quasi-Monte CarloCode0
Inverse Nonlinearity Compensation of Hyperelastic Deformation in Dielectric Elastomer for Acoustic Actuation—0
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh TransformerCode1
Semi-implicit Continuous Newton Method for Power Flow Analysis—0
Rethinking Directional Integration in Neural Radiance Fields—0
Stability-Informed Initialization of Neural Ordinary Differential EquationsCode0
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores SamplingCode0
A hybrid approach for solving the gravitational N-body problem with Artificial Neural NetworksCode0
Machine Learning for the identification of phase-transitions in interacting agent-based systems: a Desai-Zwanzig exampleCode0
Stochastic Latent Transformer: Efficient Modelling of Stochastically Forced Zonal JetsCode0
On discretisation drift and smoothness regularisation in neural network training—0
Towards Hyperparameter-Agnostic DNN Training via Dynamical System Insights—0
Learning nonlinear integral operators via Recurrent Neural Networks and its application in solving Integro-Differential Equations—0
Time-vectorized numerical integration for systems of ODEs—0
Slow Invariant Manifolds of Singularly Perturbed Systems via Physics-Informed Machine Learning—0
Adaptive approximation of monotone functions—0
A monotone numerical integration method for mean-variance portfolio optimization under jump-diffusion models—0
Understanding step selection analysis through numerical integration—0
Outlier-robust neural network training: variation regularization meets trimmed loss to prevent functional breakdownCode0
Scenario Sampling for Large Supermodular Games—0
Minimizing robust density power-based divergences for general parametric density modelsCode0
Fast Empirical Scenarios—0
Designing Stable Neural Networks using Convex Analysis and ODEsCode0
Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms—0
An Equivalent Circuit Approach to Distributed Optimization—0
Learning Survival Distribution with Implicit Survival FunctionCode0
Bayesian Numerical Integration with Neural NetworksCode0
Analysis of Numerical Integration in RNN-Based Residuals for Fault Diagnosis of Dynamic Systems—0
Temporal Subsampling Diminishes Small Spatial Scales in Recurrent Neural Network Emulators of Geophysical Turbulence—0
Some of the variables, some of the parameters, some of the times, with some physics known: Identification with partial information—0
A Closed-form Expression for the Gaussian Noise Model in the Presence of Raman Amplification—0
Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh PhysicsCode1
Implementation and (Inverse Modified) Error Analysis for implicitly-templated ODE-nets—0
Inverse Cubature and Quadrature Kalman filters—0
Symbolic-Numeric Computation of Integrals in Successive Galerkin Approximation of Hamilton-Jacobi-Bellman Equation—0
Can neural networks do arithmetic? A survey on the elementary numerical skills of state-of-the-art deep learning models—0
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory—0
Semi-Analytical Electromagnetic Transient Simulation Using Differential Transformation—0
Fitting mixed logit random regret minimization models using maximum simulated likelihood—0
Automatically Bounding the Taylor Remainder Series: Tighter Bounds and New ApplicationsCode2
Estimating and Assessing Differential Equation Models with Time-Course Data—0
Pricing Bermudan Swaption under Two Factor Hull-White Model with Fast Gauss Transform—0
LiFe-net: Data-driven Modelling of Time-dependent Temperatures and Charging Statistics Of Tesla's LiFePo4 EV Battery—0
A Neural ODE Interpretation of Transformer Layers—0
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