Pascal Lamblin
Pascal Lamblin
Google Research, Brain Team
Verified email at google.com
TitleCited byYear
Greedy layer-wise training of deep networks
Y Bengio, P Lamblin, D Popovici, H Larochelle
Advances in neural information processing systems, 153-160, 2007
43762007
Theano: A CPU and GPU math compiler in Python
J Bergstra, O Breuleux, F Bastien, P Lamblin, R Pascanu, G Desjardins, ...
Proc. 9th Python in Science Conf 1, 3-10, 2010
2260*2010
Theano: new features and speed improvements
F Bastien, P Lamblin, R Pascanu, J Bergstra, I Goodfellow, A Bergeron, ...
arXiv preprint arXiv:1211.5590, 2012
13552012
Exploring strategies for training deep neural networks
H Larochelle, Y Bengio, J Louradour, P Lamblin
Journal of machine learning research 10 (Jan), 1-40, 2009
8242009
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
5722016
Pylearn2: a machine learning research library
IJ Goodfellow, D Warde-Farley, P Lamblin, V Dumoulin, M Mirza, ...
arXiv preprint arXiv:1308.4214, 2013
2862013
Theano: Deep learning on GPUs with python
J Bergstra, F Bastien, O Breuleux, P Lamblin, R Pascanu, O Delalleau, ...
NIPS 2011, BigLearning Workshop, Granada, Spain 3, 2011
2362011
Emonets: Multimodal deep learning approaches for emotion recognition in video
SE Kahou, X Bouthillier, P Lamblin, C Gulcehre, V Michalski, K Konda, ...
Journal on Multimodal User Interfaces 10 (2), 99-111, 2016
2312016
Combining modality specific deep neural networks for emotion recognition in video
SE Kahou, C Pal, X Bouthillier, P Froumenty, Ç Gülçehre, R Memisevic, ...
Proceedings of the 15th ACM on International conference on multimodal …, 2013
2302013
Meta-dataset: A dataset of datasets for learning to learn from few examples
E Triantafillou, T Zhu, V Dumoulin, P Lamblin, K Xu, R Goroshin, ...
arXiv preprint arXiv:1903.03096, 2019
282019
Learning the 2-D topology of images
N Le Roux, Y Bengio, P Lamblin, M Joliveau, B Kégl
Advances in Neural Information Processing Systems, 841-848, 2008
242008
Automatic differentiation in ML: Where we are and where we should be going
B van Merrienboer, O Breuleux, A Bergeron, P Lamblin
Advances in neural information processing systems, 8757-8767, 2018
132018
Deep learning on GPUs with Theano
J Bergstra, F Bastien, J Turian, R Pascanu, O Delalleau, O Breuleux, ...
The Learning Workshop, 2010
52010
Theano: new features and speed improvements
P Lamblin, R Pascanu, J Bergstra, I Goodfellow, A Bergeron, N Bouchard, ...
42012
Oríon: Experiment Version Control for Efficient Hyperparameter Optimization
C Tsirigotis, X Bouthillier, F Corneau-Tremblay, P Henderson, R Askari, ...
12018
Image classification with complex cell neural networks
J Bergstra, Y Bengio, P Lamblin, G Desjardins, J Louradour
Front. Neurosci. Computational and Systems Neuroscience, 2010
12010
Meta-Dataset: A Dataset of Datasets for Learning to Learn in Few-Shot Learning
C Gelada, E Triantafillou, H Larochelle, K Xu, KJ Swersky, P Lamblin, ...
2020
EmoNets: Multimodal deep learning approaches for emotion recognition in video
S Ebrahimi Kahou, X Bouthillier, P Lamblin, C Gulcehre, V Michalski, ...
arXiv preprint arXiv:1503.01800, 2015
2015
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