conftrace_

numerical approximation

6 papers

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Co-occurring keywords · papers mentioning both

high-dimensional data (2) stochastic differential equation (2) kernel methods (2) wasserstein distance (2) kernel matrix (1) linear complexity (1) gpu computing (1) approximation algorithm (1) physics-informed neural network (1) partial differential equation (1)

Papers

Correction to "Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations" JMLR 2024 Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations NeurIPS 2022 Giga-scale Kernel Matrix-Vector Multiplication on GPU NeurIPS 2022 Voronoi density estimator for high-dimensional data: Computation, compactification and convergence UAI 2022 Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations JMLR 2021 Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method NeurIPS 2008