Alexandre Lacoste
Alexandre Lacoste
Research Scientist, Element AI
Zweryfikowany adres z elementai.com
Tytuł
Cytowane przez
Cytowane przez
Rok
Tadam: Task dependent adaptive metric for improved few-shot learning
BN Oreshkin, P Rodriguez, A Lacoste
arXiv preprint arXiv:1805.10123, 2018
3992018
Neural autoregressive flows
CW Huang, D Krueger, A Lacoste, A Courville
International Conference on Machine Learning, 2078-2087, 2018
1832018
Tackling climate change with machine learning
D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ...
arXiv preprint arXiv:1906.05433, 2019
1522019
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
133*2017
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
1142016
Pac-bayesian theory meets bayesian inference
P Germain, F Bach, A Lacoste, S Lacoste-Julien
arXiv preprint arXiv:1605.08636, 2016
842016
A supervised classification algorithm for note onset detection
A Lacoste, D Eck
EURASIP Journal on Advances in Signal Processing 2007, 1-13, 2006
812006
Learning heuristics for the tsp by policy gradient
M Deudon, P Cournut, A Lacoste, Y Adulyasak, LM Rousseau
International conference on the integration of constraint programming …, 2018
782018
Bayesian hypernetworks
D Krueger, CW Huang, R Islam, R Turner, A Lacoste, A Courville
arXiv preprint arXiv:1710.04759, 2017
762017
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
382013
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
332012
Sequential model-based ensemble optimization
A Lacoste, H Larochelle, F Laviolette, M Marchand
arXiv preprint arXiv:1402.0796, 2014
282014
Quantifying the carbon emissions of machine learning
A Lacoste, A Luccioni, V Schmidt, T Dandres
arXiv preprint arXiv:1910.09700, 2019
272019
Agnostic Bayesian learning of ensembles
A Lacoste, M Marchand, F Laviolette, H Larochelle
International Conference on Machine Learning, 611-619, 2014
272014
A PAC-Bayes sample-compression approach to kernel methods
P Germain, A Lacoste, F Laviolette, M Marchand, S Shanian
ICML, 2011
252011
Onset detection with artificial neural networks for mirex 2005
A Lacoste, D Eck
Extended abstract of the 1st Annual Music Information Retrieval Evaluation …, 2005
252005
Deep prior
A Lacoste, T Boquet, N Rostamzadeh, B Oreshkin, W Chung, D Krueger
arXiv preprint arXiv:1712.05016, 2017
23*2017
Improving explorability in variational inference with annealed variational objectives
CW Huang, S Tan, A Lacoste, A Courville
arXiv preprint arXiv:1809.01818, 2018
212018
Predicting genre labels for artist using FreeDB.
J Bergstra, A Lacoste, D Eck
ISMIR, 85-88, 2006
202006
Accurate supervised and semi-supervised machine reading for long documents
D Hewlett, L Jones, A Lacoste, I Gur
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
192017
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