Guillaume Rabusseau
Guillaume Rabusseau
Assistant Professor - Canada CIFAR AI Chair, Université de Montréal / Mila
Email verificata su iro.umontreal.ca - Home page
TitoloCitata daAnno
Low-Rank Regression with Tensor Responses
G Rabusseau, H Kadri
Advances in Neural Information Processing Systems, 1867-1875, 2016
212016
A Tensor Perspective on Weighted Automata, Low-Rank Regression and Algebraic Mixtures
G Rabusseau
Aix-Marseille Université, 2016
72016
Recognizable series on hypergraphs
R Bailly, F Denis, G Rabusseau
International Conference on Language and Automata Theory and Applications …, 2015
62015
Tensor regression networks with various low-rank tensor approximations
X Cao, G Rabusseau
arXiv preprint arXiv:1712.09520, 2017
52017
Connecting weighted automata and recurrent neural networks through spectral learning
G Rabusseau, T Li, D Precup
arXiv preprint arXiv:1807.01406, 2018
42018
Multitask spectral learning of weighted automata
G Rabusseau, B Balle, J Pineau
Advances in Neural Information Processing Systems, 2588-2597, 2017
42017
Low-rank approximation of weighted tree automata
G Rabusseau, B Balle, S Cohen
Artificial Intelligence and Statistics, 839-847, 2016
42016
Recognizable series on graphs and hypergraphs
R Bailly, G Rabusseau, F Denis
Journal of Computer and System Sciences 104, 58-81, 2019
32019
On overfitting and asymptotic bias in batch reinforcement learning with partial observability
V François-Lavet, G Rabusseau, J Pineau, D Ernst, R Fonteneau
Journal of Artificial Intelligence Research 65, 1-30, 2019
32019
Clustering-Oriented Representation Learning with Attractive-Repulsive Loss
K Kenyon-Dean, A Cianflone, L Page-Caccia, G Rabusseau, ...
arXiv preprint arXiv:1812.07627, 2018
32018
Nonlinear Weighted Finite Automata
T Li, G Rabusseau, D Precup
International Conference on Artificial Intelligence and Statistics, 679-688, 2018
3*2018
Optimizing Home Energy Management and Electric Vehicle Charging with Reinforcement Learning
RG Di Wu, F lavet Vincent, P Doina, B Benoit
Proceedings of the 16th Adaptive Learning Agents, 2018
22018
Learning negative mixture models by tensor decompositions
G Rabusseau, F Denis
arXiv preprint arXiv:1403.4224, 2014
22014
Minimization of Graph Weighted Models over Circular Strings
G Rabusseau
International Conference on Foundations of Software Science and Computation …, 2018
12018
Hierarchical methods of moments
M Ruffini, G Rabusseau, B Balle
Advances in Neural Information Processing Systems, 1901-1911, 2017
12017
Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning
T Li, B Mazoure, D Precup, G Rabusseau
arXiv preprint arXiv:1911.05010, 2019
2019
Approximate Minimization of Weighted Tree Automata
B Balle, G Rabusseau
2019
Neural Architecture Search for Class-incremental Learning
S Huang, V François-Lavet, G Rabusseau
arXiv preprint arXiv:1909.06686, 2019
2019
Proceedings of the Workshop on Deep Learning and Formal Languages: Building Bridges
J Eisner, M Gallé, J Heinz, A Quattoni, G Rabusseau
Proceedings of the Workshop on Deep Learning and Formal Languages: Building …, 2019
2019
Sequential Coordination of Deep Models for Learning Visual Arithmetic
E Crawford, G Rabusseau, J Pineau
arXiv preprint arXiv:1809.04988, 2018
2018
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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