← Mathematics
Mathematics & Optimization › Mathematics ›

Numerical Analysis

294 directly classified papers

Papers per year

Papers

Towards Scalable and Stable Parallelization of Nonlinear RNNs NIPS 2024
A Statistical Experimental Design Method for Constructing Deterministic Sensing Matrices for Compressed Sensing JMLR 2024
Lower Complexity Bounds of Finite-Sum Optimization Problems: The Results and Construction JMLR 2024
Nearly Optimal Approximation of Matrix Functions by the Lanczos Method NIPS 2024
Gradients of Functions of Large Matrices NIPS 2024
The Galerkin method beats Graph-Based Approaches for Spectral Algorithms AISTATS 2024
Complexity of Neural Network Training and ETR: Extensions with Effectively Continuous Functions AAAI 2024
Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains AAAI 2024
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields NIPS 2024
Alias-Free Mamba Neural Operator NIPS 2024
SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations AAAI 2024
PDENNEval: A Comprehensive Evaluation of Neural Network Methods for Solving PDEs IJCAI 2024
Linear Time Approximation Algorithm for Column Subset Selection with Local Search NIPS 2024
Distributed Least Squares in Small Space via Sketching and Bias Reduction NIPS 2024
Sampling-based Nyström Approximation and Kernel Quadrature ICML 2023
Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness AAAI 2023
Predicting Ordinary Differential Equations with Transformers ICML 2023
Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems ICML 2023
DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks AAAI 2023
Power Bundle Adjustment for Large-Scale 3D Reconstruction CVPR 2023
Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition JMLR 2023
Block Subsampled Randomized Hadamard Transform for Nyström Approximation on Distributed Architectures ICML 2023
On the Accelerated Noise-Tolerant Power Method AISTATS 2023
A Fast Adaptive Randomized PCA Algorithm IJCAI 2023
Implicit Neural Spatial Representations for Time-dependent PDEs ICML 2023