Alexandre Lacoste
Alexandre Lacoste
Staff Research Scientist, ServiceNow Research
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Cited by
Cited by
Tadam: Task dependent adaptive metric for improved few-shot learning
B Oreshkin, P Rodríguez López, A Lacoste
Advances in neural information processing systems 31, 2018
Tackling climate change with machine learning
D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ...
ACM Computing Surveys (CSUR) 55 (2), 1-96, 2022
Quantifying the carbon emissions of machine learning
A Lacoste, A Luccioni, V Schmidt, T Dandres
arXiv preprint arXiv:1910.09700, 2019
Neural autoregressive flows
CW Huang, D Krueger, A Lacoste, A Courville
International Conference on Machine Learning, 2078-2087, 2018
Learning heuristics for the tsp by policy gradient
M Deudon, P Cournut, A Lacoste, Y Adulyasak, LM Rousseau
Integration of Constraint Programming, Artificial Intelligence, and …, 2018
Coarse-to-fine question answering for long documents
E Choi, D Hewlett, J Uszkoreit, I Polosukhin, A Lacoste, J Berant
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
PAC-Bayesian theory meets Bayesian inference
P Germain, F Bach, A Lacoste, S Lacoste-Julien
Advances in Neural Information Processing Systems 29, 2016
Embedding propagation: Smoother manifold for few-shot classification
P Rodríguez, I Laradji, A Drouin, A Lacoste
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Wikireading: A novel large-scale language understanding task over wikipedia
D Hewlett, A Lacoste, L Jones, I Polosukhin, A Fandrianto, J Han, ...
arXiv preprint arXiv:1608.03542, 2016
Bayesian hypernetworks
D Krueger, CW Huang, R Islam, R Turner, A Lacoste, A Courville
arXiv preprint arXiv:1710.04759, 2017
Seasonal contrast: Unsupervised pre-training from uncurated remote sensing data
O Manas, A Lacoste, X Giró-i-Nieto, D Vazquez, P Rodriguez
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Online fast adaptation and knowledge accumulation: a new approach to continual learning
M Caccia, P Rodriguez, O Ostapenko, F Normandin, M Lin, L Caccia, ...
arXiv preprint arXiv:2003.05856, 2020
Differentiable causal discovery from interventional data
P Brouillard, S Lachapelle, A Lacoste, S Lacoste-Julien, A Drouin
Advances in Neural Information Processing Systems 33, 21865-21877, 2020
A supervised classification algorithm for note onset detection
A Lacoste, D Eck
EURASIP Journal on Advances in Signal Processing 2007, 1-13, 2006
Disentanglement via mechanism sparsity regularization: A new principle for nonlinear ICA
S Lachapelle, P Rodriguez, Y Sharma, KE Everett, R Le Priol, A Lacoste, ...
Conference on Causal Learning and Reasoning, 428-484, 2022
Improving explorability in variational inference with annealed variational objectives
CW Huang, S Tan, A Lacoste, AC Courville
Advances in neural information processing systems 31, 2018
MHC-NP: predicting peptides naturally processed by the MHC
S Giguère, A Drouin, A Lacoste, M Marchand, J Corbeil, F Laviolette
Journal of immunological methods 400, 30-36, 2013
Agnostic Bayesian learning of ensembles
A Lacoste, M Marchand, F Laviolette, H Larochelle
International Conference on Machine Learning, 611-619, 2014
Tackling climate change with machine learning (2019)
D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ...
arXiv preprint arxiv:1906.05433, 2019
Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets
A Lacoste, F Laviolette, M Marchand
Journal of Machine Learning Research - Proceedings Track, 665-675, 2012
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