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Guillaume Rabusseau
Guillaume Rabusseau
Assistant Professor - Canada CIFAR AI Chair, Université de Montréal / Mila
Bestätigte E-Mail-Adresse bei iro.umontreal.ca - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Low-Rank Regression with Tensor Responses
G Rabusseau, H Kadri
Advances in Neural Information Processing Systems, 1867-1875, 2016
892016
Horizontal gene transfer and recombination analysis of SARS-CoV-2 genes helps discover its close relatives and shed light on its origin
V Makarenkov, B Mazoure, G Rabusseau, P Legendre
BMC ecology and evolution 21, 1-18, 2021
562021
A theoretical analysis of catastrophic forgetting through the ntk overlap matrix
T Doan, MA Bennani, B Mazoure, G Rabusseau, P Alquier
International Conference on Artificial Intelligence and Statistics, 1072-1080, 2021
512021
Connecting weighted automata and recurrent neural networks through spectral learning
G Rabusseau, T Li, D Precup
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
462019
Tensor networks for probabilistic sequence modeling
J Miller, G Rabusseau, J Terilla
International Conference on Artificial Intelligence and Statistics, 3079-3087, 2021
38*2021
Laplacian change point detection for dynamic graphs
S Huang, Y Hitti, G Rabusseau, R Rabbany
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
352020
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
342019
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
272018
Tensorized random projections
B Rakhshan, G Rabusseau
International Conference on Artificial Intelligence and Statistics, 3306-3316, 2020
222020
Tensor regression networks with various low-rank tensor approximations
X Cao, G Rabusseau
arXiv preprint arXiv:1712.09520, 2017
222017
Adaptive tensor learning with tensor networks
M Hashemizadeh, M Liu, J Miller, G Rabusseau
arXiv preprint arXiv:2008.05437, 2020
21*2020
Temporal graph benchmark for machine learning on temporal graphs
S Huang, F Poursafaei, J Danovitch, M Fey, W Hu, E Rossi, J Leskovec, ...
Advances in Neural Information Processing Systems 36, 2024
182024
Clustering-oriented representation learning with attractive-repulsive loss
K Kenyon-Dean, A Cianflone, L Page-Caccia, G Rabusseau, ...
arXiv preprint arXiv:1812.07627, 2018
172018
Quantum tensor networks, stochastic processes, and weighted automata
S Adhikary, S Srinivasan, J Miller, G Rabusseau, B Boots
International Conference on Artificial Intelligence and Statistics, 2080-2088, 2021
16*2021
A Tensor Perspective on Weighted Automata, Low-Rank Regression and Algebraic Mixtures
G Rabusseau
Aix-Marseille Université, 2016
132016
Neural architecture search for class-incremental learning
S Huang, V François-Lavet, G Rabusseau
arXiv preprint arXiv:1909.06686, 2019
122019
High-order pooling for graph neural networks with tensor decomposition
C Hua, G Rabusseau, J Tang
Advances in Neural Information Processing Systems 35, 6021-6033, 2022
112022
Lower and upper bounds on the pseudo-dimension of tensor network models
B Khavari, G Rabusseau
Advances in Neural Information Processing Systems 34, 10931-10943, 2021
112021
Multitask spectral learning of weighted automata
G Rabusseau, B Balle, J Pineau
Advances in neural information processing systems 30, 2017
92017
RandomNet: Towards fully automatic neural architecture design for multimodal learning
S Alletto, S Huang, V Francois-Lavet, Y Nakata, G Rabusseau
arXiv preprint arXiv:2003.01181, 2020
82020
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