Search Results for author:
Found 4 papers, 1 papers with code
Zero- and Few-Shots Knowledge Graph Triplet Extraction with Large Language Models
In this work, we tested the Triplet Extraction (TE) capabilities of a variety of Large Language Models (LLMs) of different sizes in the Zero- and Few-Shots settings.
Comparing Deep Learning Models for the Task of Volatility Prediction Using Multivariate Data
This study aims to compare multiple deep learning-based forecasters for the task of predicting volatility using multivariate data.
Learning to Predict Short-Term Volatility with Order Flow Image Representation
The results show that our order flow representation with a CNN as a predictive model achieves the best performance, with an RMSPE of 0. 85+/-1. 1 for the model with aggregated features and 1. 0+/-1. 4 for the model without feature supplementation.
kNN-Res: Residual Neural Network with kNN-Graph coherence for point cloud registration
In this paper, we present a residual neural network-based method for point set registration that preserves the topological structure of the target point set.
