Philemon Brakel
Philemon Brakel
Google DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
End-to-end attention-based large vocabulary speech recognition
D Bahdanau, J Chorowski, D Serdyuk, P Brakel, Y Bengio
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
8172016
An actor-critic algorithm for sequence prediction
D Bahdanau, P Brakel, K Xu, A Goyal, R Lowe, J Pineau, A Courville, ...
arXiv preprint arXiv:1607.07086, 2016
3822016
Towards end-to-end speech recognition with deep convolutional neural networks
Y Zhang, M Pezeshki, P Brakel, S Zhang, CLY Bengio, A Courville
arXiv preprint arXiv:1701.02720, 2017
2572017
Batch normalized recurrent neural networks
C Laurent, G Pereyra, P Brakel, Y Zhang, Y Bengio
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
1902016
Audio-based music classification with a pretrained convolutional network
S Dieleman, P Brakel, B Schrauwen
12th International Society for Music Information Retrieval Conference (ISMIR …, 2011
1342011
Light gated recurrent units for speech recognition
M Ravanelli, P Brakel, M Omologo, Y Bengio
IEEE Transactions on Emerging Topics in Computational Intelligence 2 (2), 92-102, 2018
932018
Deconstructing the ladder network architecture
M Pezeshki, L Fan, P Brakel, A Courville, Y Bengio
International conference on machine learning, 2368-2376, 2016
832016
Invariant representations for noisy speech recognition
D Serdyuk, K Audhkhasi, P Brakel, B Ramabhadran, S Thomas, Y Bengio
arXiv preprint arXiv:1612.01928, 2016
502016
Improving speech recognition by revising gated recurrent units
M Ravanelli, P Brakel, M Omologo, Y Bengio
arXiv preprint arXiv:1710.00641, 2017
462017
Learning independent features with adversarial nets for non-linear ica
P Brakel, Y Bengio
arXiv preprint arXiv:1710.05050, 2017
442017
Recall traces: Backtracking models for efficient reinforcement learning
A Goyal, P Brakel, W Fedus, S Singhal, T Lillicrap, S Levine, H Larochelle, ...
arXiv preprint arXiv:1804.00379, 2018
392018
A network of deep neural networks for distant speech recognition
M Ravanelli, P Brakel, M Omologo, Y Bengio
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
392017
Training energy-based models for time-series imputation
P Brakel, D Stroobandt, B Schrauwen
The Journal of Machine Learning Research 14 (1), 2771-2797, 2013
382013
Oger: modular learning architectures for large-scale sequential processing
D Verstraeten, B Schrauwen, S Dieleman, P Brakel, P Buteneers, ...
The Journal of Machine Learning Research 13 (1), 2995-2998, 2012
332012
Batch-normalized joint training for DNN-based distant speech recognition
M Ravanelli, P Brakel, M Omologo, Y Bengio
2016 IEEE Spoken Language Technology Workshop (SLT), 28-34, 2016
262016
Task loss estimation for sequence prediction
D Bahdanau, D Serdyuk, P Brakel, NR Ke, J Chorowski, A Courville, ...
arXiv preprint arXiv:1511.06456, 2015
262015
Training restricted boltzmann machines with multi-tempering: Harnessing parallelization
P Brakel, S Dieleman, B Schrauwen
International Conference on Artificial Neural Networks, 92-99, 2012
232012
Strong systematicity in sentence processing by simple recurrent networks
P Brakel, S Frank
Proceedings of the Annual Meeting of the Cognitive Science Society 31 (31), 2009
202009
Bidirectional truncated recurrent neural networks for efficient speech denoising
P Brakel, D Stroobandt, B Schrauwen
14th Annual conference of the International Speech Communication Association, 2013
72013
An actor-critic algorithm for structured prediction
D Bahadanau, P Brakel, R Lowe, J Pineau, K Xu, A Goyal, A Courville, ...
Proc. of ICLR, 2017
12017
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