Numerical Analysis
381 papers
Papers per year
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5
11
14
19
26
28
22
26
32
43
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24
9
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Papers
Constructive TT-representation of the tensors given as index interaction functions with applications
ICLR 2023
Continuous-time Analysis of Anchor Acceleration
NeurIPS 2023
Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels
NeurIPS 2023
Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations
AAAI 2023
Distributed Bundle Adjustment with Block-Based Sparse Matrix Compression for Super Large Scale Datasets
ICCV 2023
DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks
AAAI 2023
Efficient Robust Principal Component Analysis via Block Krylov Iteration and CUR Decomposition
CVPR 2023
Efficient Second-Order Plane Adjustment
CVPR 2023
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients
ICML 2023
Geometry-Informed Neural Operator for Large-Scale 3D PDEs
NeurIPS 2023
Implicit Neural Spatial Representations for Time-dependent PDEs
ICML 2023
Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition
JMLR 2023
Kernel Quadrature with Randomly Pivoted Cholesky
NeurIPS 2023
Learning Preconditioners for Conjugate Gradient PDE Solvers
ICML 2023
MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods
ICML 2023
Near Optimal Reconstruction of Spherical Harmonic Expansions
NeurIPS 2023
Neural Q-learning for solving PDEs
JMLR 2023
Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities
ICLR 2023
Online PCA in Converging Self-consistent Field Equations
NeurIPS 2023
Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval
JMLR 2023
On the Accelerated Noise-Tolerant Power Method
AISTATS 2023
Power Bundle Adjustment for Large-Scale 3D Reconstruction
CVPR 2023
Predicting Ordinary Differential Equations with Transformers
ICML 2023
Probabilistic Exponential Integrators
NeurIPS 2023
Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning
NeurIPS 2023