📐 Linear Algebra - Royi

📈Optimization Academic

arxiv.org·

meleantonio forked meleantonio/DEQN_Galo_03_2026 from sischei/DEQN_Galo_03_2026

🤖Machine Learning Code

github.com·

Statistical and Numerical Convergence in Stochastic Equilibrium

📈Optimization Academic

arxiv.org·

Mitigating Manifold Departure: Uncertainty-Aware Subspace Rectification for Trustworthy MLLM Decoding

🤖Machine Learning Academic

arxiv.org·

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

🖼Image Processing Academic

arxiv.org·

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

📈Optimization Academic

arxiv.org·

Low-Variance Randomised Numerical Linear Algebra for Finite Element Simulation

📈Optimization Academic

arxiv.org·

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

🤖Machine Learning Academic

arxiv.org·

I stopped using most of Rust’s advanced features for my ML library

🤖AI Code

github.com··r/rust

Smooth Hard-Thresholding for Singular Values with Stein's Unbiased Risk Estimate

📡Signal Processing Academic

arxiv.org·

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

📈Optimization Academic

arxiv.org·

Projected Inverse Iteration: An Eigenvalue Approach to Ground-State Computation with Neural Quantum States

🤖Machine Learning Academic

arxiv.org·

Efficient Mean Curvature Computation on High-Dimensional Data Manifolds

🤖Machine Learning Academic

arxiv.org·

A New Level Set Formulation for Improved Dirichlet Eigenvalue Minimizers

📈Optimization Academic

arxiv.org·

An algebraic multiscale preconditioner for large sparse SPD matrices

🔢MATLAB Academic

arxiv.org·

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

📊Data Science Academic

arxiv.org·

devenjarvis/lathe: Generate hands-on, multi-part technical tutorials on demand, with LLM skills tuned to make content approachable. Then you work through them yourself, by hand ✋

🤖AI Code

github.com··DEV, Hacker News

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

Show HN: pypoLCA – Latent Class Analysis and Regression in Python

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

On solving symmetric multi-type orthogonal non-negative matrix tri-factorization problem

meleantonio forked meleantonio/DEQN_Galo_03_2026 from sischei/DEQN_Galo_03_2026

Statistical and Numerical Convergence in Stochastic Equilibrium

Mitigating Manifold Departure: Uncertainty-Aware Subspace Rectification for Trustworthy MLLM Decoding

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

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

Low-Variance Randomised Numerical Linear Algebra for Finite Element Simulation

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

I stopped using most of Rust’s advanced features for my ML library

Smooth Hard-Thresholding for Singular Values with Stein's Unbiased Risk Estimate

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

Projected Inverse Iteration: An Eigenvalue Approach to Ground-State Computation with Neural Quantum States

Efficient Mean Curvature Computation on High-Dimensional Data Manifolds

A New Level Set Formulation for Improved Dirichlet Eigenvalue Minimizers

An algebraic multiscale preconditioner for large sparse SPD matrices

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

devenjarvis/lathe: Generate hands-on, multi-part technical tutorials on demand, with LLM skills tuned to make content approachable. Then you work through them yourself, by hand ✋