Zobrazeno 1 - 10
of 162
pro vyhledávání: '"Héroux, Pierre"'
Autor:
Piquenot, Jason, Bérar, Maxime, Héroux, Pierre, Ramel, Jean-Yves, Raveaux, Romain, Adam, Sébastien
This paper presents Grammar Reinforcement Learning (GRL), a reinforcement learning algorithm that uses Monte Carlo Tree Search (MCTS) and a transformer architecture that models a Pushdown Automaton (PDA) within a context-free grammar (CFG) framework.
Externí odkaz:
http://arxiv.org/abs/2410.01661
Autor:
Piquenot, Jason, Moscatelli, Aldo, Bérar, Maxime, Héroux, Pierre, raveaux, Romain, Ramel, Jean-Yves, Adam, Sébastien
This paper introduces a framework for formally establishing a connection between a portion of an algebraic language and a Graph Neural Network (GNN). The framework leverages Context-Free Grammars (CFG) to organize algebraic operations into generative
Externí odkaz:
http://arxiv.org/abs/2303.01590
Publikováno v:
In Pattern Recognition Letters August 2024 184:14-20
Autor:
Balcilar, Muhammet, Héroux, Pierre, Gaüzère, Benoit, Vasseur, Pascal, Adam, Sébastien, Honeine, Paul
Publikováno v:
The Thirty-eighth International Conference on Machine Learning, ICML2021
Since the Message Passing (Graph) Neural Networks (MPNNs) have a linear complexity with respect to the number of nodes when applied to sparse graphs, they have been widely implemented and still raise a lot of interest even though their theoretical ex
Externí odkaz:
http://arxiv.org/abs/2106.04319
Autor:
Balcilar, Muhammet, Renton, Guillaume, Heroux, Pierre, Gauzere, Benoit, Adam, Sebastien, Honeine, Paul
This paper aims at revisiting Graph Convolutional Neural Networks by bridging the gap between spectral and spatial design of graph convolutions. We theoretically demonstrate some equivalence of the graph convolution process regardless it is designed
Externí odkaz:
http://arxiv.org/abs/2003.11702
Graph edit distance (GED) is a powerful and flexible graph matching paradigm that can be used to address different tasks in structural pattern recognition, machine learning, and data mining. In this paper, some new binary linear programming formulati
Externí odkaz:
http://arxiv.org/abs/1505.05740
Publikováno v:
In Pattern Recognition December 2017 72:254-265
Publikováno v:
In Computer Vision and Image Understanding 2011 115(7):905-918
Publikováno v:
Journal of Applied Meteorology (1988-2005), 2005 Jan 01. 44(1), 153-166.
Externí odkaz:
https://www.jstor.org/stable/26185629
Autor:
Renton, Guillaume, Balcilar, Muhammet, Héroux, Pierre, Gaüzère, Benoît, Honeine, Paul, Adam, Sébastien
Publikováno v:
In Pattern Recognition Letters December 2021 152:391-397