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Numerical Analysis

74 directly classified papers

Papers per year

Papers

An Enhanced Levenberg--Marquardt Method via Gram Reduction AAAI 2025
Matrix-Free Shared Intrinsics Bundle Adjustment CVPR 2025
Gradients of Functions of Large Matrices NIPS 2024
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs NIPS 2024
Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees NIPS 2024
Alias-Free Mamba Neural Operator NIPS 2024
Efficient Leverage Score Sampling for Tensor Train Decomposition NIPS 2024
Towards Scalable and Stable Parallelization of Nonlinear RNNs NIPS 2024
Sketched Newton Value Iteration for Large-Scale Markov Decision Processes AAAI 2024
RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks NIPS 2024
MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods ICML 2023
CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra NIPS 2023
Online PCA in Converging Self-consistent Field Equations NIPS 2023
Efficient Second-Order Plane Adjustment CVPR 2023
Geometry-Informed Neural Operator for Large-Scale 3D PDEs NIPS 2023
A Deep Conjugate Direction Method for Iteratively Solving Linear Systems ICML 2023
Efficient Robust Principal Component Analysis via Block Krylov Iteration and CUR Decomposition CVPR 2023
Revisiting the P3P Problem CVPR 2023
Probabilistic Exponential Integrators NIPS 2023
DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks AAAI 2023
Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs IJCAI 2022
Sketching Algorithms and Lower Bounds for Ridge Regression ICML 2022
Local and Global Convergence of General Burer-Monteiro Tensor Optimizations AAAI 2022
Chunk Dynamic Updating for Group Lasso with ODEs AAAI 2022
Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems AAAI 2022