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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
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
AutoInt: Automatic Integration for Fast Neural Volume RenderingCode1
Message-Passing Monte Carlo: Generating low-discrepancy point sets via Graph Neural NetworksCode1
Learning Integrable Dynamics with Action-Angle NetworksCode1
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal MemoryCode1
Unifying supervised learning and VAEs -- coverage, systematics and goodness-of-fit in normalizing-flow based neural network models for astro-particle reconstructionsCode1
Hamiltonian neural networks for solving equations of motionCode1
Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power SystemCode1
Bayesian inference for logistic models using Polya-Gamma latent variablesCode1
Feasibility Study of Neural ODE and DAE Modules for Power System Dynamic Component ModelingCode1
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh TransformerCode1
Learning Mesh-Based Simulation with Graph NetworksCode1
Continuous-in-Depth Neural NetworksCode1
A Frequency Domain Approach to Predict Power System TransientsCode1
Sampling-free Inference for Ab-Initio Potential Energy Surface NetworksCode1
Underdamped Diffusion Bridges with Applications to SamplingCode1
FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-form-gradientsCode1
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel RecombinationCode1
GreenLight-Gym: Reinforcement learning benchmark environment for control of greenhouse production systemsCode1
Discovery of Nonlinear Dynamical Systems using a Runge-Kutta Inspired Dictionary-based Sparse Regression ApproachCode1
Hierarchical Deep Learning of Multiscale Differential Equation Time-SteppersCode1
Continuous Mixtures of Tractable Probabilistic ModelsCode1
Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh PhysicsCode1
Outlier-robust neural network training: variation regularization meets trimmed loss to prevent functional breakdownCode0
Minimizing robust density power-based divergences for general parametric density modelsCode0
Learning effective stochastic differential equations from microscopic simulations: linking stochastic numerics to deep learningCode0
Learning Nonparametric Volterra Kernels with Gaussian ProcessesCode0
i-flow: High-dimensional Integration and Sampling with Normalizing FlowsCode0
Identifiability of Differential-Algebraic SystemsCode0
A hybrid approach for solving the gravitational N-body problem with Artificial Neural NetworksCode0
AReS and MaRS - Adversarial and MMD-Minimizing Regression for SDEsCode0
How Far Are We from Optimal Reasoning Efficiency?Code0
Inertial Navigation Using an Inertial Sensor ArrayCode0
Machine Learning for the identification of phase-transitions in interacting agent-based systems: a Desai-Zwanzig exampleCode0
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNsCode0
Efficient time stepping for numerical integration using reinforcement learningCode0
Fenrir: Physics-Enhanced Regression for Initial Value ProblemsCode0
Calibrating Multivariate Lévy Processes with Neural NetworksCode0
BoXHED2.0: Scalable boosting of dynamic survival analysisCode0
A Dictionary of Closed-Form Kernel Mean EmbeddingsCode0
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores SamplingCode0
Combining Normalizing Flows and Quasi-Monte CarloCode0
Evaluating AI-generated code for C++, Fortran, Go, Java, Julia, Matlab, Python, R, and RustCode0
A note on the option price and 'Mass at zero in the uncorrelated SABR model and implied volatility asymptotics'Code0
Distributional Gradient Matching for Learning Uncertain Neural Dynamics ModelsCode0
Bayesian Probabilistic Numerical Integration with Tree-Based ModelsCode0
Bayesian Numerical Integration with Neural NetworksCode0
Data-based stochastic modeling reveals sources of activity bursts in single-cell TGF-β signalingCode0
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