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Numerical Analysis

294 directly classified papers

Papers per year

Papers

Quantum Algorithms for Spectral Sums AAAI 2026
SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels AAAI 2026
Operator Learning for Hyperbolic PDEs JMLR 2025
Preconditioners for the Stochastic Training of Neural Fields CVPR 2025
Adaptive Wavelet-Positional Encoding for High-Frequency Information Learning in Implicit Neural Representation AAAI 2025
Linear Trading Position with Sparse Spectrum IJCAI 2025
Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation AAAI 2025
Precise Integral in NeRFs: Overcoming the Approximation Errors of Numerical Quadrature WACV 2025
On the Approximation of Kernel functions JMLR 2025
A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation JMLR 2025
FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers IJCAI 2025
An Enhanced Levenberg--Marquardt Method via Gram Reduction AAAI 2025
Non-Convex Tensor Recovery from Local Measurements AAAI 2025
Fast and Accurate Estimation of Low-Rank Matrices from Noisy Measurements via Preconditioned Non-Convex Gradient Descent AISTATS 2024
A Statistical Experimental Design Method for Constructing Deterministic Sensing Matrices for Compressed Sensing JMLR 2024
Asynchronous Randomized Trace Estimation AISTATS 2024
Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts NIPS 2024
Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees NIPS 2024
Lower Complexity Bounds of Finite-Sum Optimization Problems: The Results and Construction JMLR 2024
On the Nyström Approximation for Preconditioning in Kernel Machines AISTATS 2024
A PDE-based Explanation of Extreme Numerical Sensitivities and Edge of Stability in Training Neural Networks JMLR 2024
Towards Scalable and Stable Parallelization of Nonlinear RNNs NIPS 2024
Fast Fourier Bayesian Quadrature AISTATS 2024
Correction to "Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations" JMLR 2024
Gradients of Functions of Large Matrices NIPS 2024