25 citations
- Université Paris Dauphine-PSLFR10 papers
- Centre de Recherche en Économie et StatistiqueFR4 papers
- ENSAE ParisFR3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Centre de Droit des Affaires et de GestionFR1 paper
- Centre d'Etudes et de Recherches Appliquées à la GestionFR1 paper
- Centre d’études et de Recherches sur l’espace GermanophoneFR1 paper
- Centre For Sustainable Urban DevelopmentCL1 paper
- École PolytechniqueFR1 paper
- Électricité de France (France)FR1 paper
- Image and Pervasive Access LaboratorySG1 paper
- Institute for Infocomm ResearchSG1 paper
5 papers · 1 filter
STAN: Smooth Transition Autoregressive Networks
Hugo Inzirillo, Remi Genet
Traditional Smooth Transition Autoregressive (STAR) models offer an effective way to model these dynamics through smooth regime changes based on specific transition variables. In t…
CaAdam: Improving Adam optimizer using connection aware methods
Remi Genet, Hugo Inzirillo
We introduce a new method inspired by Adam that enhances convergence speed and achieves better loss function minima. Traditional optimizers, including Adam, apply uniform or global…
A Gated Residual Kolmogorov-Arnold Networks for Mixtures of Experts
Hugo Inzirillo, Remi Genet
This paper introduces KAMoE, a novel Mixture of Experts (MoE) framework based on Gated Residual Kolmogorov-Arnold Networks (GRKAN). We propose GRKAN as an alternative to the tradit…
SigKAN: Signature-Weighted Kolmogorov-Arnold Networks for Time Series
Hugo Inzirillo, Remi Genet
We propose a novel approach that enhances multivariate function approximation using learnable path signatures and Kolmogorov-Arnold networks (KANs). We enhance the learning capabil…
TKAN: Temporal Kolmogorov-Arnold Networks
Remi Genet, Hugo Inzirillo
Recurrent Neural Networks (RNNs) have revolutionized many areas of machine learning, particularly in natural language and data sequence processing. Long Short-Term Memory (LSTM) ha…