📊 Optimization - ashbenen

💻AI Tutorial

iwtlp.com··DEV

Physics-informed neural networks with caputo-fabrizio derivatives for nonlinear fractal-fractional delay equations and chaotic systems

🌀Complexity Academic

nature.com·

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.

🔧Data Engineering Code

github.com··Hacker News

Backpropagation Without the Magic: A First-Principles Derivation

💻AI Blog

medium.com

Gradient-informed Hamiltonian Monte Carlo for multicomponent CALPHAD model optimization and uncertainty quantification

🌌Astrophysics Academic

sciencedirect.com·

Uniform Stability and Generalization Error of GD and SGD on Fixed-Point Parameters

💻AI Academic

arxiv.org·

A Mean-Field Analysis of Multi-Head Self-Attention under Cross-Entropy Training

📉Time Series Academic

arxiv.org·

Optimal Rates for Generalization of Gradient Descent Methods with Deep Neural Networks

🛡️AI Security Academic

arxiv.org·

meleantonio forked meleantonio/DEQN_Galo_03_2026 from sischei/DEQN_Galo_03_2026

🔗Dependent Types Code

github.com·

Exploring the Design Space of Reward Backpropagation for Flow Matching

💻AI Academic

arxiv.org·

Second-Order Path Kernel Interpolation Formulas in Machine Learning

💻AI Academic

arxiv.org·

A Theory on Flow Matching with Neural Networks

💻AI Academic

arxiv.org·

Meltedd/scarecrow: An adversarial frame pattern optimizer for evading automated license plate recognition, personalized to your plate.

🛡️AI Security Code

github.com··Hacker News

Flatland: The Adventures of Gradient Descent with Large Step Sizes

💻AI Academic

arxiv.org·

An adaptive framework for the axisymmetric pulsar magnetosphere using physics-informed Kolmogorov-Arnold networks

🌌Astrophysics Academic

arxiv.org·

Noise-Adaptive High-Probability Regret Bounds for Online Convex Optimization

🤝Consensus Algorithms Academic

arxiv.org·

Metric-Free Riemannian Optimization

🤖Robotics Academic

arxiv.org·

Forward-Only Convolutional Neural Networks with Learnable Channel-Class Assignment

💻AI Academic

arxiv.org·

Multilevel Stochastic Gradient Descent for Risk-Averse PDE-Constrained Optimization

PyTorch Stochastic Gradient Optimization Technique

Machine learning from scratch, what to build before using scikit-learn

Physics-informed neural networks with caputo-fabrizio derivatives for nonlinear fractal-fractional delay equations and chaotic systems

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.

Backpropagation Without the Magic: A First-Principles Derivation

Gradient-informed Hamiltonian Monte Carlo for multicomponent CALPHAD model optimization and uncertainty quantification

Uniform Stability and Generalization Error of GD and SGD on Fixed-Point Parameters

A Mean-Field Analysis of Multi-Head Self-Attention under Cross-Entropy Training

Optimal Rates for Generalization of Gradient Descent Methods with Deep Neural Networks

meleantonio forked meleantonio/DEQN_Galo_03_2026 from sischei/DEQN_Galo_03_2026

Exploring the Design Space of Reward Backpropagation for Flow Matching

Second-Order Path Kernel Interpolation Formulas in Machine Learning

A Theory on Flow Matching with Neural Networks

Meltedd/scarecrow: An adversarial frame pattern optimizer for evading automated license plate recognition, personalized to your plate.

Flatland: The Adventures of Gradient Descent with Large Step Sizes

An adaptive framework for the axisymmetric pulsar magnetosphere using physics-informed Kolmogorov-Arnold networks

Noise-Adaptive High-Probability Regret Bounds for Online Convex Optimization

Metric-Free Riemannian Optimization

Forward-Only Convolutional Neural Networks with Learnable Channel-Class Assignment