About
Discord Stateoftheart AI
GitHub

Publications

32

Cited by

101

Guillaume Rabusseau

machine learningtensorsweighted automata
Université de Montréal

Canada

Papers and Citations

1 - 50
Low-rank regression with tensor responses
2016
Guillaume Rabusseau
Hachem Kadri
Cited by 38
Connecting weighted automata and recurrent neural networks through spectral learning
2019
T Li
Doina Precup
Guillaume Rabusseau
Cited by 18
On overfitting and asymptotic bias in batch reinforcement learning with partial observability
2019
Damien Ernst
Vincent François-Lavet
Joelle Pineau
+2
Cited by 12
Tensor regression networks with various low-rank tensor approximations
2017
X Cao
Guillaume Rabusseau
Cited by 10
Multitask Spectral Learning of Weighted Automata.
2017
Borja Balle
Guillaume Rabusseau
Joelle Pineau
Cited by 8
Recognizable series on hypergraphs
2015
F Denis
Raphael Bailly
Guillaume Rabusseau
Cited by 8
Multitask spectral learning of weighted automata
2017
Borja Balle
Joelle Pineau
Guillaume Rabusseau
Cited by 6
Tensorized random projections
2020
Beheshteh T. Rakhshan
Guillaume Rabusseau
Cited by 4
Recognizable series on graphs and hypergraphs
2019
F Denis
Raphael Bailly
Guillaume Rabusseau
Cited by 4
Higher-order low-rank regression
2016
Guillaume Rabusseau
Hachem Kadri
Cited by 4
Neural architecture search for class-incremental learning
2019
Guillaume Rabusseau
Shenyang Huang
Vincent François-Lavet
Cited by 4
Low-rank approximation of weighted tree automata
2016
Borja Balle
Guillaume Rabusseau
Shay Cohen
Cited by 4
Nonlinear weighted finite automata
2018
T Li
Doina Precup
Guillaume Rabusseau
Cited by 4
Clustering-oriented representation learning with attractive-repulsive loss
2018
Lucas Page-Caccia
Andre Cianflone
Guillaume Rabusseau
+3
Cited by 3
Learning negative mixture models by tensor decompositions
2014
F Denis
Guillaume Rabusseau
Cited by 2
Minimization of Graph Weighted Models over Circular Strings
2018
Guillaume Rabusseau
Cited by 2
Hierarchical methods of moments
2017
Borja Balle
Matteo Ruffini
Guillaume Rabusseau
Cited by 2
Neural Network Based Nonlinear Weighted Finite Automata
2017
T Li
Guillaume Rabusseau
Doina Precup
Cited by 2
Maximizing a tree series in the representation space
2014
F Denis
Guillaume Rabusseau
Cited by 1
Adaptive Tensor Learning with Tensor Networks
2020
M Hashemizadeh
M Liu
Jacob Miller
+1
Cited by 1
Provably efficient reconstruction of policy networks
2020
Tianyu Li
Vladimir Makarenkov
Thang Doan
+4
Cited by 1
Connecting Weighted Automata, Tensor Networks and Recurrent Neural Networks through Spectral Learning
2020
T Li
Doina Precup
Guillaume Rabusseau
Cited by
Laboratoire d'Informatique Fondamentale
2016
Guillaume Rabusseau
Cited by
Learning Graph Weighted Models on Pictures
2019
Philip Amortila
Guillaume Rabusseau
Cited by
Graph Learning as a Tensor Factorization Problem
2017
Guillaume Rabusseau
Raphael Bailly
Cited by
Laplacian Change Point Detection for Dynamic Graphs
2020
Shenyang Huang
Guillaume Rabusseau
Yasmeen Hitti
+1
Cited by
Approximate Minimization of Weighted Tree Automata
2019
Guillaume Rabusseau
Borja Balle
Cited by
RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning
2020
V Francois-Lavet
Stefano Alletto
Yohei Nakata
+2
Cited by
Low-Rank Approximation of Weighted Tree Automata (Supplementary Material)
Borja Balle
Shay Cohen
Guillaume Rabusseau
Cited by
Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning
2020
T Li
Bogdan Mazoure
Doina Precup
+1
Cited by
Sequential Coordination of Deep Models for Learning Visual Arithmetic
2018
Guillaume Rabusseau
Joelle Pineau
Eric Crawford
Cited by
Exploring Continual Learning Using Incremental Architecture Search
2018
Shenyang Huang
Vincent François-Lavet
Guillaume Rabusseau
+1
Cited by