6 papers
Optimal Stochastic Krylov based Techniques for Large- Scale Log-Determinant Estimation
Verlon Roel Mbingui, Antoine Tambue, Issa Karambal
Estimating the logarithm of the determinant of large sparse positive definite symmetric matrices is an important task in numerical linear algebra, machine learning, Gaussian proces…
Vision Tiny Recursion Model (ViTRM): Parameter-Efficient Image Classification via Recursive State Refinement
Ange-Clément Akazan, Abdoulaye Koroko, Verlon Roel Mbingui +3
The success of deep learning in computer vision has been driven by models of increasing scale, from deep Convolutional Neural Networks (CNN) to large Vision Transformers (ViT). Whi…
Splines-Based Feature Importance in Kolmogorov-Arnold Networks: A Framework for Supervised Tabular Data Dimensionality Reduction
Ange-Clément Akazan, Verlon Roel Mbingui
Feature selection is a key step in many tabular prediction problems, where multiple candidate variables may be redundant, noisy, or weakly informative. We investigate feature selec…
Novel technique based on Léja Points Approximation for Log-determinant Estimation of Large matrices
Verlon Roel Mbingui, Antoine Tambue, Issa Karambal
The computation of the Log-determinant of large, sparse, symmetric positive definite (SPD) matrices is essential in many scientific computational fields such as numerical linear al…
A comparative study of Bitcoin and Ripple cryptocurrencies trading using Deep Reinforcement Learning algorithms
Dieu-Donne Fangnon, Armandine Sorel Kouyim Meli, Verlon Roel Mbingui +3
Artificial intelligence (AI) has demonstrated remarkable success across various applications. In light of this trend, the field of automated trading has developed a keen interest i…
Localized Weather Prediction Using Kolmogorov-Arnold Network-Based Models and Deep RNNs
Ange-Clement Akazan, Verlon Roel Mbingui, Gnankan Landry Regis N'guessan +1
Weather forecasting is crucial for managing risks and economic planning, particularly in tropical Africa, where extreme events severely impact livelihoods. Yet, existing forecastin…