Search Results for author:
Found 5 papers, 3 papers with code
OpenLLM-Ro -- Technical Report on Open-source Romanian LLMs
In recent years, Large Language Models (LLMs) have achieved almost human-like performance on various tasks.
Anomaly Detection with Selective Dictionary Learning
In this paper we present new methods of anomaly detection based on Dictionary Learning (DL) and Kernel Dictionary Learning (KDL).
Reduced Kernel Dictionary Learning
In this paper we present new algorithms for training reduced-size nonlinear representations in the Kernel Dictionary Learning (KDL) problem.
Classification with Incoherent Kernel Dictionary Learning
In this paper we present a new classification method based on Dictionary Learning (DL).
Kernel t-distributed stochastic neighbor embedding
This paper presents a kernelized version of the t-SNE algorithm, capable of mapping high-dimensional data to a low-dimensional space while preserving the pairwise distances between the data points in a non-Euclidean metric.
