📊 Optimization - gautam6599123 · Scour

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

∂Automatic Differentiation Academic

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

🧠Neural Networks Academic

mingusb/transformer-golf: The Fully Unrolled Transformer: An experimental repository for architecture simplification and compilation. [2026]

🤖AI Code

github.com··Hacker News

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

🧠Deep Learning Academic

Structured Adaptive Tensor Prediction for Streaming Data

🎯Optimization Theory Academic

Second-Order Path Kernel Interpolation Formulas in Machine Learning

🎯Optimization Theory Academic

Overcoming Rank Collapse in Feedback Alignment

🤖AI Academic

Flatland: The Adventures of Gradient Descent with Large Step Sizes

🧠Neural Networks Academic

Learning Doubly Sparse Explicitly Conditioned Transforms

📐Linear Algebra Academic

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

🎯Optimization Theory Academic

Variational Proximal Policy Optimization

🎮Reinforcement Learning Academic

Predictable Scaling Laws of Optimal Hyperparameters for LLM Continued Pre-training

🗣️Large Language Models Academic

A Global Convergence Analysis of Consensus ALADIN for Convex Optimization

🎯Optimization Theory Academic

Trading Utility for Dynamic Fairness in Multiple Resource Division with Sequential Demand

🎯Decision Theory Academic

An Ensembled Latent Factor Model via Differential Evolution and Gradient Descent Optimization

🎯Optimization Theory Academic

Fourier fractal dimension to predict the generalization of deep neural networks

🧠Deep Learning Academic

Conservation Laws from Data Symmetry in Neural Networks

🌀Hamiltonian Mechanics Academic

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

🧠Neural Networks Academic

Pseudospectral Bounds for Transient Amplification in Coupled Gradient Descent

🎯Optimization Theory Academic

Scaling Decision-Focused Learning to Large Problems with Lagrangian Decomposition

🎮Reinforcement Learning Academic

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