Bart van MerriŽnboer
Bart van MerriŽnboer
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TitleCited byYear
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
K Cho, B van Merrienboer, C Gulcehre, F Bougares, H Schwenk, ...
arXiv preprint arXiv:1406.1078, 2014
69342014
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
K Cho, B van MerriŽnboer, D Bahdanau, Y Bengio
arXiv preprint arXiv:1409.1259, 2014
20792014
Towards AI-complete question answering: a set of prerequisite toy tasks
J Weston, A Bordes, S Chopra, T Mikolov, B van MerriŽnboer
arXiv preprint arXiv:1502.05698, 2015
5842015
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv preprint arXiv:1605.02688, 2016
5452016
Blocks and Fuel: Frameworks for deep learning
B van MerriŽnboer, D Bahdanau, V Dumoulin, D Serdyuk, ...
arXiv preprint arXiv:1506.00619, 2015
1522015
Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation
J Pouget-Abadie, D Bahdanau, B van MerriŽnboer, K Cho, Y Bengio
arXiv preprint arXiv:1409.1257, 2014
312014
Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming
B van MerriŽnboer, D Moldovan, A Wiltschko
Advances in Neural Information Processing Systems, 6256-6265, 2018
132018
Automatic differentiation in ML: Where we are and where we should be going
B van MerriŽnboer, O Breuleux, A Bergeron, P Lamblin
Advances in neural information processing systems, 8757-8767, 2018
92018
Tangent: Automatic Differentiation Using Source Code Transformation in Python
B van MerriŽnboer, AB Wiltschko, D Moldovan
arXiv preprint arXiv:1711.02712, 2017
6*2017
Automatic Differentiation in Myia
O Breuleux, B van MerriŽnboer
62017
Information matrices and generalization
V Thomas, F Pedregosa, B van MerriŽnboer, PA Mangazol, Y Bengio, ...
arXiv preprint arXiv:1906.07774, 2019
22019
Multiscale sequence modeling with a learned dictionary
B van MerriŽnboer, A Sanyal, H Larochelle, Y Bengio
arXiv preprint arXiv:1707.00762, 2017
22017
Fast Training of Sparse Graph Neural Networks on Dense Hardware
M Balog, B van MerriŽnboer, S Moitra, Y Li, D Tarlow
arXiv preprint arXiv:1906.11786, 2019
2019
Sequence-to-sequence learning for machine translation and automatic differentiation for machine learning software tools
B van MerriŽnboer
2019
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Articles 1–14