output
20102026
most citedTKAN: Temporal Kolmogorov-Arnold Networks

25 citations

researchers with a paper here
collaborating institutions

10 papers

cs.DL2026

Doctoral Theses in France (1985-2025): A Linked Dataset of PhDs, Academic Networks, and Institutions

William Aboucaya, Dastan Jasim

This paper presents a comprehensive dataset of doctoral theses defended in France between 1985 and 2025, constructed from multiple national academic metadata sources. The dataset i…

cs.LG2025

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…

cs.LG2024

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…

cs.LG2024★ 2 cited

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…

cs.LG2024★ 6 cited

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…

cs.LG2024★ 25 cited

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…