Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...
Light can be sculpted into countless shapes. Yet building optical devices that can simultaneously manipulate many different ...
Abstract: Hyperparameter optimization plays a pivotal role in the reliability and generalization of machine-learning models for software quality prediction. This paper presents a comparative ...
Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...
Abstract: In this study, a hyperparameter (HP) tuning method for simulated annealing (SA) is proposed. In recent years, annealing machines, i.e., non-Neumann architecture computers inspired by the ...
This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...
BiDoRA is a Python package implementing true BiDoRA (Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation) for efficient fine-tuning of Large Language Models. Specifically optimized for: ...
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