Takip et
Guillaume Rabusseau
Guillaume Rabusseau
Assistant Professor - Canada CIFAR AI Chair, Université de Montréal / Mila
iro.umontreal.ca üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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, 2023
992023
Low-Rank Regression with Tensor Responses
G Rabusseau, H Kadri
Advances in Neural Information Processing Systems, 1867-1875, 2016
952016
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
892021
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
732021
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
702020
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
482019
Tensor networks for probabilistic sequence modeling
J Miller, G Rabusseau, J Terilla
International Conference on Artificial Intelligence and Statistics, 3079-3087, 2021
45*2021
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
402019
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
332022
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
332018
Towards foundational models for molecular learning on large-scale multi-task datasets
D Beaini, S Huang, JA Cunha, G Moisescu-Pareja, O Dymov, ...
ICLR 2024, 2023
302023
Tensorized random projections
B Rakhshan, G Rabusseau
International Conference on Artificial Intelligence and Statistics, 3306-3316, 2020
282020
Adaptive tensor learning with tensor networks
M Hashemizadeh, M Liu, J Miller, G Rabusseau
arXiv preprint arXiv:2008.05437, 2020
27*2020
Tensor regression networks with various low-rank tensor approximations
X Cao, G Rabusseau
arXiv preprint arXiv:1712.09520, 2017
262017
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
21*2021
Clustering-oriented representation learning with attractive-repulsive loss
K Kenyon-Dean, A Cianflone, L Page-Caccia, G Rabusseau, ...
arXiv preprint arXiv:1812.07627, 2018
192018
Connecting weighted automata, tensor networks and recurrent neural networks through spectral learning
T Li, D Precup, G Rabusseau
Machine Learning 113 (5), 2619-2653, 2024
142024
Neural architecture search for class-incremental learning
S Huang, V François-Lavet, G Rabusseau
arXiv preprint arXiv:1909.06686, 2019
142019
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
12*2021
A Tensor Perspective on Weighted Automata, Low-Rank Regression and Algebraic Mixtures
G Rabusseau
Aix-Marseille Université, 2016
122016
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