6 citations · 10 across the 10 of their papers we have counts for
4 papers · 1 filter
LEMs: A Primer On Large Execution Models
Remi Genet, Hugo Inzirillo
This paper introduces Large Execution Models (LEMs), a novel deep learning framework that extends transformer-based architectures to address complex execution problems with flexibl…
SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms
Rémi Genet, Hugo Inzirillo
In this paper, we propose a novel approach that enhances recurrent neural networks (RNNs) by incorporating path signatures into their gating mechanisms. Our method modifies both Lo…
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…
Keras Sig: Efficient Path Signature Computation on GPU in Keras 3
Rémi Genet, Hugo Inzirillo
In this paper we introduce Keras Sig a high-performance pythonic library designed to compute path signature for deep learning applications. Entirely built in Keras 3, \textit{Keras…