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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 1–25 of 242 papers

TitleStatusHype
Force-Free Molecular Dynamics Through Autoregressive Equivariant NetworksCode2
Improving the Training of Rectified FlowsCode2
Automatically Bounding the Taylor Remainder Series: Tighter Bounds and New ApplicationsCode2
Underdamped Diffusion Bridges with Applications to SamplingCode1
FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-form-gradientsCode1
GreenLight-Gym: Reinforcement learning benchmark environment for control of greenhouse production systemsCode1
Message-Passing Monte Carlo: Generating low-discrepancy point sets via Graph Neural NetworksCode1
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh TransformerCode1
Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh PhysicsCode1
Learning Integrable Dynamics with Action-Angle NetworksCode1
Continuous Mixtures of Tractable Probabilistic ModelsCode1
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel RecombinationCode1
Sampling-free Inference for Ab-Initio Potential Energy Surface NetworksCode1
Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power SystemCode1
A Frequency Domain Approach to Predict Power System TransientsCode1
Feasibility Study of Neural ODE and DAE Modules for Power System Dynamic Component ModelingCode1
Discovery of Nonlinear Dynamical Systems using a Runge-Kutta Inspired Dictionary-based Sparse Regression ApproachCode1
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal MemoryCode1
AutoInt: Automatic Integration for Fast Neural Volume RenderingCode1
Learning Mesh-Based Simulation with Graph NetworksCode1
Hierarchical Deep Learning of Multiscale Differential Equation Time-SteppersCode1
Unifying supervised learning and VAEs -- coverage, systematics and goodness-of-fit in normalizing-flow based neural network models for astro-particle reconstructionsCode1
Continuous-in-Depth Neural NetworksCode1
Hamiltonian neural networks for solving equations of motionCode1
Bayesian inference for logistic models using Polya-Gamma latent variablesCode1
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