Prati
Bart van Merriënboer
Bart van Merriënboer
Potvrđena adresa e-pošte na google.com
Naslov
Citirano
Citirano
Godina
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
229732014
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
K Cho, B van Merriënboer, D Bahdanau, Y Bengio
arXiv preprint arXiv:1409.1259, 2014
62302014
Towards AI-complete question answering: a set of prerequisite toy tasks
J Weston, A Bordes, S Chopra, T Mikolov, B van Merriënboer
arXiv preprint arXiv:1502.05698, 2015
10802015
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
10092016
Blocks and Fuel: Frameworks for deep learning
B van Merriënboer, D Bahdanau, V Dumoulin, D Serdyuk, ...
arXiv preprint arXiv:1506.00619, 2015
1952015
Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation
J Pouget-Abadie, D Bahdanau, B van Merriënboer, K Cho, Y Bengio
arXiv preprint arXiv:1409.1257, 2014
822014
Automatic differentiation in ML: Where we are and where we should be going
B van Merriënboer, O Breuleux, A Bergeron, P Lamblin
Advances in neural information processing systems, 8757-8767, 2018
712018
Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming
B van Merriënboer, D Moldovan, A Wiltschko
Advances in Neural Information Processing Systems, 6256-6265, 2018
302018
Information matrices and generalization
V Thomas, F Pedregosa, B van Merriënboer, PA Mangazol, Y Bengio, ...
arXiv preprint arXiv:1906.07774, 2019
132019
Halting time is predictable for large models: A universality property and average-case analysis
C Paquette, B van Merriënboer, E Paquette, F Pedregosa
Foundations of Computational Mathematics, 1-77, 2022
122022
GradMax: Growing Neural Networks using Gradient Information
U Evci, M Vladymyrov, T Unterthiner, B van Merriënboer, F Pedregosa
arXiv preprint arXiv:2201.05125, 2022
102022
Fast Training of Sparse Graph Neural Networks on Dense Hardware
M Balog, B van Merriënboer, S Moitra, Y Li, D Tarlow
arXiv preprint arXiv:1906.11786, 2019
102019
Multiscale sequence modeling with a learned dictionary
B van Merriënboer, A Sanyal, H Larochelle, Y Bengio
arXiv preprint arXiv:1707.00762, 2017
102017
Tangent: Automatic Differentiation Using Source Code Transformation in Python
B van Merriënboer, AB Wiltschko, D Moldovan
arXiv preprint arXiv:1711.02712, 2017
9*2017
Automatic Differentiation in Myia
O Breuleux, B van Merriënboer
72017
Optimizing sparse graph neural networks for dense hardware
DS Tarlow, M Balog, B Van Merrienboer, Y Li, S Moitra
US Patent App. 16/883,209, 2020
2020
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