Latest Articles for Parameters

A new benchmarking suite improves compiler autotuning efficiency and effectiveness.

MIGU enhances continuous learning in language models without needing old data.

A new method estimates parameters of neuron activity using real data.

Two innovative calibration methods enhance cardiovascular model accuracy for patient care.

Grass method improves memory usage for training large language models.

A closer look at how MoE models operate and their potential benefits.

Explore how slight changes impact planetary orbits and behaviors in three-body systems.

A look at Green's functions, their derivatives, and their role in solving differential equations.

A new convolutional layer design reduces parameters and improves interpretability in AI models.

A novel method to fine-tune language models efficiently with fewer parameters.

A look at how mathematical models explain vegetation dynamics in challenging environments.

A novel approach to enhance parameter estimates while measuring uncertainty in complex models.

A flexible model architecture that enhances Transformer efficiency and performance.

This article examines how layer changes impact transformer model performance.

A new approach to simulate chemical reactions and gene expression.

Exploring the potential of quantum algorithms for complex optimization tasks.

Study reveals how cells adapt communication despite changing individual properties.

Analyzing how multiple Higgs doublets affect particle interactions and symmetries.

A new method simplifies synthesizer sound matching for musicians.

A new method improves camera movement control in video generation.

A new method merges Bayesian inference and machine learning for better data analysis.

A new approach improves state estimation amidst disturbances in nonlinear control systems.

MuTT simplifies robot programming by accurately predicting movements and optimizing tasks.

New techniques improve data analysis from solar imaging instruments.

Using diffusion models to enhance parameter selection in quantum computing tasks.

Examining how mesons transition during weak interactions through form factor calculations.

This article reviews methods for analyzing economic indicators with changing parameters.

MoFO helps large language models retain knowledge during fine-tuning without losing performance.

Meltemi 7B brings advanced AI tools to Greek speakers.

A new approach reduces qubit usage for solving complex optimization problems.

New approach in tractography improves brain mapping accuracy and efficiency.

A new tool improves emotion recognition from videos using existing image models.

Analyzing how individual traits affect medication responses through statistical methods.

A method to model dynamic systems with improved efficiency.

AI is streamlining the process of creating quantum circuits through better synthesis methods.

A new method to enhance code generation in LLM4Code models.

A novel approach simplifies parameter estimation in models lacking clear likelihood functions.

Calibration helps improve accuracy in disease spread models for better health decisions.

Investigating galaxy correlations to improve our grasp of the universe's structure and evolution.

Researchers face hurdles in measuring nucleon behavior in particle physics.