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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 101–125 of 242 papers

TitleStatusHype
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
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
Estimating and Assessing Differential Equation Models with Time-Course Data—0
LiFe-net: Data-driven Modelling of Time-dependent Temperatures and Charging Statistics Of Tesla's LiFePo4 EV Battery—0
Pricing Bermudan Swaption under Two Factor Hull-White Model with Fast Gauss Transform—0
A Neural ODE Interpretation of Transformer Layers—0
Bayesian Experimental Design for Symbolic Discovery—0
A Quantum-Powered Photorealistic Rendering—0
Geometry-preserving Lie Group Integrators For Differential Equations On The Manifold Of Symmetric Positive Definite Matrices—0
Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein DistancesCode0
Optimization-Informed Neural Networks—0
ProDMPs: A Unified Perspective on Dynamic and Probabilistic Movement Primitives—0
Novel predator-prey model admitting exact analytical solution—0
On Numerical Integration in Neural Ordinary Differential EquationsCode0
Discretization Invariant Networks for Learning Maps between Neural FieldsCode0
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