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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 51–75 of 242 papers

TitleStatusHype
A note on the option price and 'Mass at zero in the uncorrelated SABR model and implied volatility asymptotics'Code0
Inertial Navigation Using an Inertial Sensor ArrayCode0
Bayesian Probabilistic Numerical Integration with Tree-Based ModelsCode0
Bayesian Numerical Integration with Neural NetworksCode0
Learning Survival Distribution with Implicit Survival FunctionCode0
How Far Are We from Optimal Reasoning Efficiency?Code0
Outlier-robust neural network training: variation regularization meets trimmed loss to prevent functional breakdownCode0
Stochastic Latent Transformer: Efficient Modelling of Stochastically Forced Zonal JetsCode0
Batch Selection for Parallelisation of Bayesian QuadratureCode0
Evaluating AI-generated code for C++, Fortran, Go, Java, Julia, Matlab, Python, R, and RustCode0
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNsCode0
Designing Stable Neural Networks using Convex Analysis and ODEsCode0
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores SamplingCode0
Discretization Invariant Networks for Learning Maps between Neural FieldsCode0
Adaptive Process-Guided Learning: An Application in Predicting Lake DO ConcentrationsCode0
Efficient time stepping for numerical integration using reinforcement learningCode0
Fenrir: Physics-Enhanced Regression for Initial Value ProblemsCode0
Average Causal Effect Estimation in DAGs with Hidden Variables: Extensions of Back-Door and Front-Door CriteriaCode0
Identifiability of Differential-Algebraic SystemsCode0
Distributional Gradient Matching for Learning Uncertain Neural Dynamics ModelsCode0
Data-driven Prediction of General Hamiltonian Dynamics via Learning Exactly-Symplectic Maps—0
Auto-Calibration and 2D-DOA Estimation in UCAs via an Integrated Wideband Dictionary—0
Data-Augmented Numerical Integration in State Prediction: Rule Selection—0
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory—0
Revisiting the Effects of Stochasticity for Hamiltonian Samplers—0
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