📐 Linear Algebra - tiferrei

Graph-Guided Universum Learning in Generalized Eigenvalue Proximal SVMs for Alzheimer's Disease Classification

🕸️Graph Theory Academic

arxiv.org·

Gram Newton-Schulz: A Fast, Hardware-Aware Newton-Schulz Algorithm for Muon

🔢Matrix Decomposition Blog

tridao.me··Hacker News

D4M: Dynamic Distributed Dimensional Data Model

🔍CBMC Academic

d4m.mit.edu··Hacker News

ml-from-scratch-book/code: Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.

🧠Apple Neural Engine Code

github.com··Hacker News

Spectral decomposition of $(\star,\epsilon_1,\epsilon_2)$-structured matrix polynomials with arbitrary degree and its applications

🔢Matrix Decomposition Academic

arxiv.org·

Low-Variance Randomised Numerical Linear Algebra for Finite Element Simulation

🔲Cellular Automata Academic

arxiv.org·

An indefinite LOBPCG type of algorithm for detecting a definite Hermitian matrix pair

🔢Matrix Decomposition Academic

arxiv.org·

Optimal Stochastic Krylov based Techniques for Large- Scale Log-Determinant Estimation

🔢Matrix Decomposition Academic

arxiv.org·

SigmaScale: LLM Compression with SVD-based Low-Rank Decomposition and Learned Scaling Matrices

🔢Matrix Decomposition Academic

arxiv.org·

An algebraic multiscale preconditioner for large sparse SPD matrices

🔢Matrix Decomposition Academic

arxiv.org·

Stability Without Safety: Gain Manipulation Attacks on Agentic Cyber-Physical Systems

✅Model Checking Academic

arxiv.org·

Efficient Mean Curvature Computation on High-Dimensional Data Manifolds

🔢Matrix Decomposition Academic

arxiv.org·

Quaternion Maximum-Volume Submatrix Selection with Applications to Multichannel Imaging and Visual Data

🔢Matrix Decomposition Academic

arxiv.org·

A Perturbed q-Tsallis Self-Concordant Barrier for Spectrally Robust Semidefinite Programming

🔢Matrix Decomposition Academic

arxiv.org·

Statistical and Numerical Convergence in Stochastic Equilibrium

🎯Fixed Point Theory Academic

arxiv.org·

TorchKM: A GPU-Oriented Library for Kernel Learning and Model Selection

🧠Apple Neural Engine Academic

arxiv.org·

Sparse Functional Singular Value Decomposition for Biclustering and Triclustering Longitudinal Data

🔢Matrix Decomposition Academic

arxiv.org·

igomez10/linearalgebra: Linear algebra concepts implemented in Go, mainly matrix manipulation

Quivers: a year of linear algebra by drawing arrows

Why Compiler Engineers Rarely Use Strassen's Algorithm for Fast Matrix Multiplications

Graph-Guided Universum Learning in Generalized Eigenvalue Proximal SVMs for Alzheimer's Disease Classification

Gram Newton-Schulz: A Fast, Hardware-Aware Newton-Schulz Algorithm for Muon

D4M: Dynamic Distributed Dimensional Data Model

ml-from-scratch-book/code: Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.

Spectral decomposition of $(\star,\epsilon_1,\epsilon_2)$-structured matrix polynomials with arbitrary degree and its applications

Low-Variance Randomised Numerical Linear Algebra for Finite Element Simulation

An indefinite LOBPCG type of algorithm for detecting a definite Hermitian matrix pair

Optimal Stochastic Krylov based Techniques for Large- Scale Log-Determinant Estimation

SigmaScale: LLM Compression with SVD-based Low-Rank Decomposition and Learned Scaling Matrices

An algebraic multiscale preconditioner for large sparse SPD matrices

Stability Without Safety: Gain Manipulation Attacks on Agentic Cyber-Physical Systems

Efficient Mean Curvature Computation on High-Dimensional Data Manifolds

Quaternion Maximum-Volume Submatrix Selection with Applications to Multichannel Imaging and Visual Data

A Perturbed q-Tsallis Self-Concordant Barrier for Spectrally Robust Semidefinite Programming

Statistical and Numerical Convergence in Stochastic Equilibrium

TorchKM: A GPU-Oriented Library for Kernel Learning and Model Selection

Sparse Functional Singular Value Decomposition for Biclustering and Triclustering Longitudinal Data