SOTAVerified

Numerical Integration

Numerical integration is the task to calculate the numerical value of a definite integral or the numerical solution of differential equations.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 242 papers

TitleStatusHype
Modular addition without black-boxes: Compressing explanations of MLPs that compute numerical integration—0
Beyond Monte Carlo: Harnessing Diffusion Models to Simulate Financial Market Dynamics—0
Adaptive Process-Guided Learning: An Application in Predicting Lake DO ConcentrationsCode0
Coupled Integral PINN for conservation law—0
Stationary Velocity Fields on Matrix Groups for Deformable Image Registration—0
Neurally Integrated Finite Elements for Differentiable Elasticity on Evolving Domains—0
Spectral Densities, Structured Noise and Ensemble Averaging within Open Quantum Dynamics—0
Average Causal Effect Estimation in DAGs with Hidden Variables: Extensions of Back-Door and Front-Door CriteriaCode0
Modelling the age distribution of longevity leaders—0
Correlation Properties in Channels with von Mises-Fisher Distribution of Scatterers—0
Domain-decoupled Physics-informed Neural Networks with Closed-form Gradients for Fast Model Learning of Dynamical Systems—0
Physics-informed nonlinear vector autoregressive models for the prediction of dynamical systemsCode0
Kernel Neural Operators (KNOs) for Scalable, Memory-efficient, Geometrically-flexible Operator Learning—0
An Efficient Approach to Regression Problems with Tensor Neural Networks—0
Flow map matching with stochastic interpolants: A mathematical framework for consistency models—0
A novel robust meta-analysis model using the t distribution for outlier accommodation and detection—0
Exploration of methods for computing sensitivities in ODE models at dynamic and steady states—0
Identifiability of Differential-Algebraic SystemsCode0
Evaluating AI-generated code for C++, Fortran, Go, Java, Julia, Matlab, Python, R, and RustCode0
Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation—0
Bounds and Approximations for the Distribution of a Sum of Lognormal Random Variables—0
Probabilistic Flux Limiters—0
Auto-Calibration and 2D-DOA Estimation in UCAs via an Integrated Wideband Dictionary—0
Probabilistic Numeric SMC Sampling for Bayesian Nonlinear System Identification in Continuous Time—0
A monotone piecewise constant control integration approach for the two-factor uncertain volatility model—0
Combining Normalizing Flows and Quasi-Monte CarloCode0
Inverse Nonlinearity Compensation of Hyperelastic Deformation in Dielectric Elastomer for Acoustic Actuation—0
Semi-implicit Continuous Newton Method for Power Flow Analysis—0
Rethinking Directional Integration in Neural Radiance Fields—0
Stability-Informed Initialization of Neural Ordinary Differential EquationsCode0
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores SamplingCode0
A hybrid approach for solving the gravitational N-body problem with Artificial Neural NetworksCode0
Machine Learning for the identification of phase-transitions in interacting agent-based systems: a Desai-Zwanzig exampleCode0
Stochastic Latent Transformer: Efficient Modelling of Stochastically Forced Zonal JetsCode0
Towards Hyperparameter-Agnostic DNN Training via Dynamical System Insights—0
On discretisation drift and smoothness regularisation in neural network training—0
Learning nonlinear integral operators via Recurrent Neural Networks and its application in solving Integro-Differential Equations—0
Time-vectorized numerical integration for systems of ODEs—0
Adaptive approximation of monotone functions—0
Slow Invariant Manifolds of Singularly Perturbed Systems via Physics-Informed Machine Learning—0
A monotone numerical integration method for mean-variance portfolio optimization under jump-diffusion models—0
Understanding step selection analysis through numerical integration—0
Outlier-robust neural network training: variation regularization meets trimmed loss to prevent functional breakdownCode0
Scenario Sampling for Large Supermodular Games—0
Minimizing robust density power-based divergences for general parametric density modelsCode0
Fast Empirical Scenarios—0
Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms—0
Designing Stable Neural Networks using Convex Analysis and ODEsCode0
Learning Survival Distribution with Implicit Survival FunctionCode0
An Equivalent Circuit Approach to Distributed Optimization—0
Show:102550
← PrevPage 2 of 5Next →

No leaderboard results yet.