Guillaume Rabusseau

Membre Académique Principal
Guillaume Rabusseau
Professeur adjoint, Université de Montréal
Guillaume Rabusseau

Publications

2020-12

Horizontal gene transfer and recombination analysis of SARS-CoV-2 genes helps discover its close relatives and shed light on its origin
Vladimir Makarenkov, Bogdan Mazoure, Guillaume Rabusseau and Pierre Legendre
bioRxiv
(2020-12-03)
www.biorxiv.orgPDF

2020-11

Approximate Minimization of Weighted Tree Automata
Borja Balle and Guillaume Rabusseau
Information & Computation
(2020-11-13)
www.sciencedirect.com

2020-10

Quantum Tensor Networks, Stochastic Processes, and Weighted Automata.
Siddarth Srinivasan, Sandesh Adhikary, Jacob Miller, Guillaume Rabusseau and Byron Boots
arXiv preprint arXiv:2010.10653
(2020-10-20)
arxiv.orgPDF
Connecting Weighted Automata, Tensor Networks and Recurrent Neural Networks through Spectral Learning
arXiv preprint arXiv:2010.10029
(2020-10-19)
arxiv.orgPDF
Representation of Reinforcement Learning Policies in Reproducing Kernel Hilbert Spaces.
Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup and Guillaume Rabusseau
arXiv: Learning
(2020-10-15)
arxiv.orgPDF
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
Thang Doan, Mehdi Bennani, Bogdan Mazoure, Guillaume Rabusseau and Pierre Alquier
arXiv preprint arXiv:2010.04003
(2020-10-07)
ui.adsabs.harvard.eduPDF

2020-08

Laplacian Change Point Detection for Dynamic Graphs.
Shenyang Huang, Yasmeen Hitti, Guillaume Rabusseau and Reihaneh Rabbany
KDD 2020
(2020-08-23)
dl.acm.org
Adaptive Tensor Learning with Tensor Networks
Meraj Hashemizadeh, Michelle Liu, Jacob Miller and Guillaume Rabusseau
arXiv preprint arXiv:2008.05437
(2020-08-12)
arxiv.orgPDF

2020-07

Laplacian Change Point Detection for Dynamic Graphs.
Shenyang Huang, Yasmeen Hitti, Guillaume Rabusseau and Reihaneh Rabbany
arXiv preprint arXiv:2007.01229
(2020-07-02)
dblp.uni-trier.dePDF
On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract).
Vincent Francois-Lavet, Guillaume Rabusseau, Joelle Pineau, Damien Ernst and Raphael Fonteneau
IJCAI 2020
(2020-07-01)
dblp.uni-trier.de

2020-03

Tensor Networks for Language Modeling.
Jacob Miller, Guillaume Rabusseau and John Terilla
(venue unknown)
(2020-03-02)
dblp.uni-trier.dePDF
RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning.
Stefano Alletto, Shenyang Huang, Vincent François-Lavet, Yohei Nakata and Guillaume Rabusseau
arXiv preprint arXiv:2003.01181
(2020-03-02)
dblp.uni-trier.dePDF
Tensor Networks for Probabilistic Sequence Modeling
Jacob Miller, Guillaume Rabusseau and John Terilla
arXiv preprint arXiv:2003.01039
(2020-03-02)
export.arxiv.orgPDF

2020-02

Provably efficient reconstruction of policy networks.
Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup and Guillaume Rabusseau
arXiv preprint arXiv:2002.02863
(2020-02-07)
ui.adsabs.harvard.eduPDF

2020-01

Tensorized Random Projections.
Beheshteh T. Rakhshan and Guillaume Rabusseau

2019-11

Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning
Tianyu Li, Bogdan Mazoure, Doina Precup and Guillaume Rabusseau

2019-09

Neural Architecture Search for Class-incremental Learning.
Shenyang Huang, Vincent François-Lavet and Guillaume Rabusseau
arXiv preprint arXiv:1909.06686
(2019-09-14)
dblp.uni-trier.dePDF

2019-05

On overfitting and asymptotic bias in batch reinforcement learning with partial observability
Vincent Francois-Lavet, Guillaume Rabusseau, Joelle Pineau, Damien Ernst and Raphael Fonteneau
Journal of Artificial Intelligence Research
(2019-05-05)
doi.orgPDF

2018-12

Clustering-Oriented Representation Learning with Attractive-Repulsive Loss.
Kian Kenyon-Dean, Andre Cianflone, Lucas Page-Caccia, Guillaume Rabusseau, Jackie Chi Kit Cheung and Doina Precup
arXiv preprint arXiv:1812.07627
(2018-12-18)
ui.adsabs.harvard.eduPDF

2018-10

Hierarchical Methods of Moments
Matteo Ruffini, Guillaume Rabusseau and Borja Balle
arXiv preprint arXiv:1810.07468
(2018-10-17)
arxiv.orgPDF

2018-07

Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning

2018-03

Nonlinear Weighted Finite Automata
AISTATS 2018
(2018-03-31)
proceedings.mlr.pressPDF

2018-02

Sequential Coordination of Deep Models for Learning Visual Arithmetic
arXiv preprint arXiv:1809.04988
(2018-02-15)
dblp.uni-trier.dePDF

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