| Theano: A Python framework for fast computation of mathematical expressions R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv e-prints, arXiv: 1605.02688, 2016 | 840* | 2016 |
| Modeling temporal dependencies in high-dimensional sequences: Application to polyphonic music generation and transcription N Boulanger-Lewandowski, Y Bengio, P Vincent arXiv preprint arXiv:1206.6392, 2012 | 684 | 2012 |
| Advances in optimizing recurrent networks Y Bengio, N Boulanger-Lewandowski, R Pascanu ICASSP, 2013 | 546 | 2013 |
| 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 | 368 | 2016 |
| 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 | 319 | 2013 |
| Audio Chord Recognition with Recurrent Neural Networks N Boulanger-Lewandowski, Y Bengio, P Vincent ISMIR, 2013 | 189 | 2013 |
| Deep learners benefit more from out-of-distribution examples Y Bengio, F Bastien, A Bergeron, N Boulanger-Lewandowski, T Breuel, ... JMLR W&CP: Proceedings of the Fourteenth International Conference on …, 2011 | 133 | 2011 |
| Audio Chord Recognition with a Hybrid Recurrent Neural Network. S Sigtia, N Boulanger-Lewandowski, S Dixon ISMIR, 127-133, 2015 | 69 | 2015 |
| High-dimensional sequence transduction N Boulanger-Lewandowski, Y Bengio, P Vincent 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 47 | 2013 |
| A hybrid recurrent neural network for music transcription S Sigtia, E Benetos, N Boulanger-Lewandowski, T Weyde, ASA Garcez, ... 2015 IEEE international conference on acoustics, speech and signal …, 2015 | 46 | 2015 |
| Discriminative non-negative matrix factorization for multiple pitch estimation N Boulanger-Lewandowski, Y Bengio, P Vincent ISMIR, 205--210, 2012 | 39 | 2012 |
| Exploiting Long-Term Temporal Dependencies in NMF Using Recurrent Neural Networks with Application to Source Separation N Boulanger-Lewandowski, G Mysore, M Hoffman ICASSP, 2014 | 23 | 2014 |
| Deep self-taught learning for handwritten character recognition Y Bengio, F Bastien, A Bergeron, N Boulanger-Lewandowski, ... NIPS* 2010 Deep Learning and Unsupervised Feature Learning Workshop, 2010 | 22* | 2010 |
| Non-negative matrix factorization regularized by recurrent neural networks for audio processing NM Boulanger-Lewandowski, GJ Mysore, MD Hoffman US Patent 9,721,202, 2017 | 19 | 2017 |
| Intrusive STM imaging N Boulanger-Lewandowski, A Rochefort Physical Review B 83 (11), 115430, 2011 | 17 | 2011 |
| Phone Sequence Modeling with Recurrent Neural Networks N Boulanger-Lewandowski, J Droppo, M Seltzer, D Yu ICASSP, 2014 | 16 | 2014 |
| Modeling high-dimensional audio sequences with recurrent neural networks N Boulanger-Lewandowski | 6 | 2014 |
| EmoNets: Multimodal deep learning approaches for emotion recognition in video S Ebrahimi Kahou, X Bouthillier, P Lamblin, C Gulcehre, V Michalski, ... arXiv e-prints, arXiv: 1503.01800, 2015 | 1 | 2015 |
| An Energy-Based Recurrent Neural Network for Multiple Fundamental Frequency Estimation N Boulanger-Lewandowski, P Vincent, Y Bengio Learning Workshop at Snowbird, 2011 | 1 | 2011 |
| Imagerie de synthèse en microscopie tunnel (STM) intrusive N Boulanger-Lewandowski ECOLE POLYTECHNIQUE, MONTREAL, 2010 | | 2010 |
