Latest Articles for Weights

Research reveals how metformin alters protein levels and influences diabetes treatment.

Introducing DiscoGP, a new method for better understanding language models.

Exploring how neural networks use their learned weights effectively.

A new framework enhances the adaptability of vision-language models through smart data processing.

Exploring methods to extend functions in Sobolev spaces across various structures.

Study identifies effective methods for estimating patient weight in resource-limited settings.

Examining the effects of weight change on breast cancer risk indicators.

Learn how mini-batch SGD improves neural network training and feature selection.

A study reveals local growth charts fit Zurich children better than WHO standards.

A look at record linkage algorithms and their impact on data analysis.

A look into why smaller objects often feel heavier than larger ones.

Understanding how parents view their children's weight is crucial for tackling obesity.

Discover the basics of learning Dynamic Bayesian Networks from data.

New techniques improve data analysis from solar imaging instruments.

Research on neural networks reveals behaviors of heavy-tailed distributions.

DCZNMaker simplifies complex decision-making using Multi-Attribute Utility Analysis.

Research focuses on improving ferroelectric devices for efficient memory storage and AI.

A new method enhances language models for better performance and lower resource use.

A detailed look at training and dynamics in machine learning.

A new method for better prediction sets using multiple score functions.

Poincaré inequalities are vital for analyzing mathematical functions and partial differential equations.

Learn how to measure elevator acceleration by observing apparent weight changes.

Explore the significance and applications of rational weight modular forms in modern mathematics.

fStress aids in model fitting by measuring distance and optimizing data analysis.

A look into how model weights affect deep learning performance.

A study on why deep learning models vary in performance.

A new method makes using large language models on mobile devices more efficient.

New techniques improve value estimation from Markov chain data.

LLaMA3-70B faces unique issues with 8-bit quantization affecting its performance.

Discover the mathematical game of Conway Checkers and its complex strategies.

A new method improves DNN security without clean data.

Prompt baking improves language model performance and knowledge retention.

Explore how size affects our perception of weight.

A study of point connections and unique weights in geometric trees.

A fresh approach to understanding weights in coding theory.

Explore the significance of Age of Information in communication and information sharing.

A look into how CNNs learn image features and their universal similarities.

An overview of generalized Orlicz spaces and their practical applications.

A deep dive into causal effects estimation through weights and learned representations.

Researchers propose a new method for defining instantons in lattice Yang-Mills theory.