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Numerical Analysis

349 papers

Papers per year

2
19
32
12
'10
'15
'20
'25

Papers

Block Broyden's Methods for Solving Nonlinear Equations NIPS 2023
Online PCA in Converging Self-consistent Field Equations NIPS 2023
Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels NIPS 2023
Kernel Quadrature with Randomly Pivoted Cholesky NIPS 2023
Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning NIPS 2023
DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks AAAI 2023
Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations AAAI 2023
Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness AAAI 2023
Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel AISTATS 2023
On the Accelerated Noise-Tolerant Power Method AISTATS 2023
Power Bundle Adjustment for Large-Scale 3D Reconstruction CVPR 2023
Efficient Second-Order Plane Adjustment CVPR 2023
Efficient Robust Principal Component Analysis via Block Krylov Iteration and CUR Decomposition CVPR 2023
Revisiting the P3P Problem CVPR 2023
Distributed Bundle Adjustment with Block-Based Sparse Matrix Compression for Super Large Scale Datasets ICCV 2023
Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems ICML 2023
Block Subsampled Randomized Hadamard Transform for Nyström Approximation on Distributed Architectures ICML 2023
Predicting Ordinary Differential Equations with Transformers ICML 2023
Implicit Neural Spatial Representations for Time-dependent PDEs ICML 2023
Constant Matters: Fine-grained Error Bound on Differentially Private Continual Observation ICML 2023
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients ICML 2023
Sampling-based Nyström Approximation and Kernel Quadrature ICML 2023
A Deep Conjugate Direction Method for Iteratively Solving Linear Systems ICML 2023
Unifying Nesterov’s Accelerated Gradient Methods for Convex and Strongly Convex Objective Functions ICML 2023
Learning Preconditioners for Conjugate Gradient PDE Solvers ICML 2023