Saved in:
| Main Author: | Yashwanth, Tadisetty Sai |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.00025 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Giga-scale Kernel Matrix Vector Multiplication on GPU
by: Hu, Robert, et al.
Published: (2022)
by: Hu, Robert, et al.
Published: (2022)
Learning Stochastic Dynamical Systems with Structured Noise
by: Guo, Ziheng, et al.
Published: (2025)
by: Guo, Ziheng, et al.
Published: (2025)
Bit-Accurate Modeling of GPU Matrix Multiply-Accumulate Units: Demystifying Numerical Discrepancy and Accuracy
by: Xie, Peichen, et al.
Published: (2025)
by: Xie, Peichen, et al.
Published: (2025)
A Short Note on Batch-efficient Divide-and-Conquer Algorithm for EigenDecomposition
by: Song, Yue
Published: (2026)
by: Song, Yue
Published: (2026)
Matrix Decomposition and Applications
by: Lu, Jun
Published: (2022)
by: Lu, Jun
Published: (2022)
Query Efficient Structured Matrix Learning
by: Amsel, Noah, et al.
Published: (2025)
by: Amsel, Noah, et al.
Published: (2025)
Orthonormal Expansions for Translation-Invariant Kernels
by: Tronarp, Filip, et al.
Published: (2022)
by: Tronarp, Filip, et al.
Published: (2022)
Affine Invariant Ensemble Transform Methods to Improve Predictive Uncertainty in Neural Networks
by: Bhandari, Diksha, et al.
Published: (2023)
by: Bhandari, Diksha, et al.
Published: (2023)
V-ABFT: Variance-Based Adaptive Threshold for Fault-Tolerant Matrix Multiplication in Mixed-Precision Deep Learning
by: Gao, Yiheng, et al.
Published: (2026)
by: Gao, Yiheng, et al.
Published: (2026)
Variational Matrix-Learning Fourier Networks for Parametric Multiphysics Surrogates
by: Li, Xinyu, et al.
Published: (2026)
by: Li, Xinyu, et al.
Published: (2026)
Antithetic Noise in Diffusion Models
by: Jia, Jing, et al.
Published: (2025)
by: Jia, Jing, et al.
Published: (2025)
Matrix Phylogeny: Compact Spectral Fingerprints for Trap-Robust Preconditioner Selection
by: Baek, Jinwoo
Published: (2025)
by: Baek, Jinwoo
Published: (2025)
Convolutional Surrogate for 3D Discrete Fracture-Matrix Tensor Upscaling
by: Špetlík, Martin, et al.
Published: (2026)
by: Špetlík, Martin, et al.
Published: (2026)
Matrix-Free Least Squares Solvers: Values, Gradients, and What to Do With Them
by: Roy, Hrittik, et al.
Published: (2025)
by: Roy, Hrittik, et al.
Published: (2025)
Matrix Completion with Cross-Concentrated Sampling: Bridging Uniform Sampling and CUR Sampling
by: Cai, HanQin, et al.
Published: (2022)
by: Cai, HanQin, et al.
Published: (2022)
Maximal Volume Matrix Cross Approximation for Image Compression and Least Squares Solution
by: Allen, Kenneth, et al.
Published: (2023)
by: Allen, Kenneth, et al.
Published: (2023)
Concatenated Matrix SVD: Compression Bounds, Incremental Approximation, and Error-Constrained Clustering
by: Shamrai, Maksym
Published: (2026)
by: Shamrai, Maksym
Published: (2026)
Enhanced BPINN Training Convergence in Solving General and Multi-scale Elliptic PDEs with Noise
by: Hou, Yilong, et al.
Published: (2024)
by: Hou, Yilong, et al.
Published: (2024)
Pruning AMR: Efficient Visualization of Implicit Neural Representations via Weight Matrix Analysis
by: Zvonek, Jennifer, et al.
Published: (2025)
by: Zvonek, Jennifer, et al.
Published: (2025)
FlashSinkhorn: IO-Aware Entropic Optimal Transport on GPU
by: Ye, Felix X. -F., et al.
Published: (2026)
by: Ye, Felix X. -F., et al.
Published: (2026)
Lee and Seung (2000)'s Algorithms for Non-negative Matrix Factorization: A Supplementary Proof Guide
by: Cho, Sungjae
Published: (2025)
by: Cho, Sungjae
Published: (2025)
Point Source Identification Using Singularity Enriched Neural Networks
by: Hu, Tianhao, et al.
Published: (2024)
by: Hu, Tianhao, et al.
Published: (2024)
Deflation-PINNs: Learning Multiple Solutions for PDEs and Landau-de Gennes
by: Disarò, Sean, et al.
Published: (2026)
by: Disarò, Sean, et al.
Published: (2026)
Implementing Recycling Methods for Linear Systems in Python with an Application to Multiple Objective Optimization
by: Garcia, Ainara, et al.
Published: (2024)
by: Garcia, Ainara, et al.
Published: (2024)
The Geometry of the Pivot: A Note on Lazy Pivoted Cholesky and Farthest Point Sampling
by: Shabat, Gil
Published: (2026)
by: Shabat, Gil
Published: (2026)
Dual Simplex Volume Maximization for Simplex-Structured Matrix Factorization
by: Abdolali, Maryam, et al.
Published: (2024)
by: Abdolali, Maryam, et al.
Published: (2024)
Leveraging Real-Time Data Analysis and Multiple Kernel Learning for Manufacturing of Innovative Steels
by: Rannetbauer, Wolfgang, et al.
Published: (2025)
by: Rannetbauer, Wolfgang, et al.
Published: (2025)
A Multiple Transferable Neural Network Method with Domain Decomposition for Elliptic Interface Problems
by: Lu, Tianzheng, et al.
Published: (2025)
by: Lu, Tianzheng, et al.
Published: (2025)
Newton Informed Neural Operator for Computing Multiple Solutions of Nonlinear Partials Differential Equations
by: Hao, Wenrui, et al.
Published: (2024)
by: Hao, Wenrui, et al.
Published: (2024)
Truncated Matrix Completion - An Empirical Study
by: Naik, Rishhabh, et al.
Published: (2025)
by: Naik, Rishhabh, et al.
Published: (2025)
Matrix Calculus (for Machine Learning and Beyond)
by: Bright, Paige, et al.
Published: (2025)
by: Bright, Paige, et al.
Published: (2025)
Maximum-Volume Nonnegative Matrix Factorization
by: Thanh, Olivier Vu, et al.
Published: (2026)
by: Thanh, Olivier Vu, et al.
Published: (2026)
Deep Nonnegative Matrix Factorization with Beta Divergences
by: Leplat, Valentin, et al.
Published: (2023)
by: Leplat, Valentin, et al.
Published: (2023)
U-HNO: A U-shaped Hybrid Neural Operator with Sparse-Point Adaptive Routing for Non-stationary PDE Dynamics
by: Ma, Yingzhe, et al.
Published: (2026)
by: Ma, Yingzhe, et al.
Published: (2026)
Structure-preserving learning for multi-symplectic PDEs
by: Yıldız, Süleyman, et al.
Published: (2024)
by: Yıldız, Süleyman, et al.
Published: (2024)
Symmetry & Critical Points
by: Arjevani, Yossi
Published: (2024)
by: Arjevani, Yossi
Published: (2024)
Hawkeye: Reproducing GPU-Level Non-Determinism
by: Badash, Erez, et al.
Published: (2026)
by: Badash, Erez, et al.
Published: (2026)
Quantum Harmonic Analysis and the Structure in Data: Augmentation
by: Doerfler, Monika, et al.
Published: (2025)
by: Doerfler, Monika, et al.
Published: (2025)
State-Dependent Lyapunov Method for Rank-1 Matrix Factorization
by: Moon, Jaehong
Published: (2026)
by: Moon, Jaehong
Published: (2026)
Theoretical Refinement of CLIP by Utilizing Linear Structure of Optimal Similarity
by: Yoshida, Naoki, et al.
Published: (2025)
by: Yoshida, Naoki, et al.
Published: (2025)
Similar Items
-
Giga-scale Kernel Matrix Vector Multiplication on GPU
by: Hu, Robert, et al.
Published: (2022) -
Learning Stochastic Dynamical Systems with Structured Noise
by: Guo, Ziheng, et al.
Published: (2025) -
Bit-Accurate Modeling of GPU Matrix Multiply-Accumulate Units: Demystifying Numerical Discrepancy and Accuracy
by: Xie, Peichen, et al.
Published: (2025) -
A Short Note on Batch-efficient Divide-and-Conquer Algorithm for EigenDecomposition
by: Song, Yue
Published: (2026) -
Matrix Decomposition and Applications
by: Lu, Jun
Published: (2022)