Latest Articles for Parameters

A look into Sparse Mamba, a method for better language model control.

Examining QAOA and RQAOA approaches for optimizing graph challenges.

Combine trained models to improve performance and reduce costs.

A new system for conducting interactive economic surveys with ease.

LINX simplifies calculations of light elements formed in the early Universe.

Introducing a flexible model for estimating volatility across various fields.

A new method enhances brain tumor tracking using MRI and mathematical models.

How neural networks improve parameter estimation in spatial models.

Physics-informed neural networks offer new methods for analyzing complex fluid flows.

A new framework improves how we model galaxies and dark matter connection.

A new approach to modeling data using natural language for better interpretation.

A new method improves parameter estimation for optical communication systems.

A new method improves the efficiency of fine-tuning language models.

A new method improves decision-making analysis with neural networks in Bayesian frameworks.

StableMamba enhances image and video processing with improved robustness and performance.

Utilizing smaller models to expedite training of larger language models.

New techniques streamline the detection and analysis of gravitational wave signals.

This research explores efficient learning of Markov Random Fields using dynamic samples.

CAMAL combines machine learning and traditional methods to optimize LSM tree performance.

A look at dynamic quantization methods for enhancing LLM performance.

A new method enhances analysis by focusing on individual data cells.

Examining how model parameters impact performance on long-range tasks.

A study on stabilizing bicopters using innovative adaptive control techniques.

This study analyzes how well Transformers can memorize data in various contexts.

Cure rate models help analyze events over time, impacting fields like medicine and social science.

A study on elliptic quasivariational inequalities and their applications in contact mechanics.

Innovative methods for reinforcement learning without prior state knowledge.

This article examines MLPs and KANs in low-data environments.

Examining how consumers choose products and the impact of improved estimation techniques.

Learn how Anomaly-Free Regions improve anomaly detection efficiency in datasets.

This model improves depth estimation while being resource-efficient and easy to use.

Automated methods improve accuracy in muscle path calibration for better modeling.

A method to enhance parameter estimation from simulations efficiently.

Learn about how to reconstruct neural networks and its implications.

A new method enhances language model efficiency while maintaining performance.

This study questions the necessity of large models in protein research.

Learn how RSA improves parameter estimation in particle physics models.

Scientists propose a minimalist model to better understand dark matter's behavior.

This article presents a new method for identifying changes in event data.

Scientists study heavy-ion collisions to understand quark-gluon plasma and particle behavior.