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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 1–50 of 242 papers

TitleStatusHype
Improving the Training of Rectified FlowsCode2
Automatically Bounding the Taylor Remainder Series: Tighter Bounds and New ApplicationsCode2
Force-Free Molecular Dynamics Through Autoregressive Equivariant NetworksCode2
Bayesian inference for logistic models using Polya-Gamma latent variablesCode1
FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-form-gradientsCode1
AutoInt: Automatic Integration for Fast Neural Volume RenderingCode1
Sampling-free Inference for Ab-Initio Potential Energy Surface NetworksCode1
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh TransformerCode1
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal MemoryCode1
Underdamped Diffusion Bridges with Applications to SamplingCode1
Hierarchical Deep Learning of Multiscale Differential Equation Time-SteppersCode1
Continuous Mixtures of Tractable Probabilistic ModelsCode1
Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power SystemCode1
GreenLight-Gym: Reinforcement learning benchmark environment for control of greenhouse production systemsCode1
Learning Integrable Dynamics with Action-Angle NetworksCode1
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel RecombinationCode1
Hamiltonian neural networks for solving equations of motionCode1
Continuous-in-Depth Neural NetworksCode1
Feasibility Study of Neural ODE and DAE Modules for Power System Dynamic Component ModelingCode1
Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh PhysicsCode1
Discovery of Nonlinear Dynamical Systems using a Runge-Kutta Inspired Dictionary-based Sparse Regression ApproachCode1
Unifying supervised learning and VAEs -- coverage, systematics and goodness-of-fit in normalizing-flow based neural network models for astro-particle reconstructionsCode1
Message-Passing Monte Carlo: Generating low-discrepancy point sets via Graph Neural NetworksCode1
Learning Mesh-Based Simulation with Graph NetworksCode1
A Frequency Domain Approach to Predict Power System TransientsCode1
A monotone piecewise constant control integration approach for the two-factor uncertain volatility model—0
Adaptive approximation of monotone functions—0
A monotone numerical integration method for mean-variance portfolio optimization under jump-diffusion models—0
Revisiting the Effects of Stochasticity for Hamiltonian Samplers—0
Auto-Calibration and 2D-DOA Estimation in UCAs via an Integrated Wideband Dictionary—0
Denoising Hamiltonian Network for Physical Reasoning—0
Differentiable Implicit Soft-Body Physics—0
Asian Option Pricing with Orthogonal Polynomials—0
Asian Basket Spread Options: A New Approximation Based on Stochastic Taylor Expansions—0
All-Action Policy Gradient Methods: A Numerical Integration Approach—0
Artificial Intelligence for Direct Prediction of Molecular Dynamics Across Chemical Space—0
Computing Modes of Instability of Parameterized Nonlinear Systems for Vulnerability Assessment—0
Active Learning of Model Evidence Using Bayesian Quadrature—0
A Closed-Form Approximation of the Gaussian Noise Model in the Presence of Inter-Channel Stimulated Raman Scattering—0
Data-driven Prediction of General Hamiltonian Dynamics via Learning Exactly-Symplectic Maps—0
Approximate Inference with the Variational Holder Bound—0
A phenomenological spatial model for macro-ecological patterns in species-rich ecosystems—0
Can neural networks do arithmetic? A survey on the elementary numerical skills of state-of-the-art deep learning models—0
A general method for debiasing a Monte Carlo estimator—0
Complete dimensional collapse in the continuum limit of a delayed SEIQR network model with separable distributed infectivity—0
Accurate and efficient Simulation of very high-dimensional Neural Mass Models with distributed-delay Connectome Tensors—0
Coupled Integral PINN for conservation law—0
Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms—0
Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation—0
Convergence Guarantees for Adaptive Bayesian Quadrature Methods—0
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