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ORCIDPhilemon Brakel
Person information
- affiliation: Google DeepMind, London, UK
- affiliation: University of Montreal, Department of Computer Science and Operations Research, QC, Canada
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2020 – today
- 2024
[c16]Jost Tobias Springenberg, Abbas Abdolmaleki, Jingwei Zhang, Oliver Groth, Michael Bloesch, Thomas Lampe, Philemon Brakel, Sarah Bechtle, Steven Kapturowski, Roland Hafner, Nicolas Heess, Martin A. Riedmiller:
Offline Actor-Critic Reinforcement Learning Scales to Large Models. ICML 2024- [i15]Jost Tobias Springenberg, Abbas Abdolmaleki, Jingwei Zhang, Oliver Groth, Michael Bloesch, Thomas Lampe, Philemon Brakel, Sarah Bechtle, Steven Kapturowski, Roland Hafner, Nicolas Heess, Martin A. Riedmiller:
Offline Actor-Critic Reinforcement Learning Scales to Large Models. CoRR abs/2402.05546 (2024) - 2022
- [c15]Philémon Brakel, Steven Bohez, Leonard Hasenclever, Nicolas Heess, Konstantinos Bousmalis:
Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner. IROS 2022: 10335-10342 - [i14]Steven Bohez, Saran Tunyasuvunakool, Philemon Brakel, Fereshteh Sadeghi, Leonard Hasenclever, Yuval Tassa, Emilio Parisotto, Jan Humplik, Tuomas Haarnoja, Roland Hafner, Markus Wulfmeier, Michael Neunert, Ben Moran, Noah Y. Siegel, Andrea Huber, Francesco Romano, Nathan Batchelor, Federico Casarini, Josh Merel, Raia Hadsell, Nicolas Heess:
Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors. CoRR abs/2203.17138 (2022) - 2021
- [c14]Sandy H. Huang, Abbas Abdolmaleki, Giulia Vezzani, Philemon Brakel, Daniel J. Mankowitz, Michael Neunert, Steven Bohez, Yuval Tassa, Nicolas Heess, Martin A. Riedmiller, Raia Hadsell:
A Constrained Multi-Objective Reinforcement Learning Framework. CoRL 2021: 883-893 - [i13]Philemon Brakel, Steven Bohez, Leonard Hasenclever, Nicolas Heess, Konstantinos Bousmalis:
Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner. CoRR abs/2111.00262 (2021)
2010 – 2019
- 2019
- [c13]Anirudh Goyal, Philemon Brakel, William Fedus, Soumye Singhal, Timothy P. Lillicrap, Sergey Levine, Hugo Larochelle, Yoshua Bengio:
Recall Traces: Backtracking Models for Efficient Reinforcement Learning. ICLR (Poster) 2019 - 2018
- [j3]Mirco Ravanelli
, Philemon Brakel, Maurizio Omologo, Yoshua Bengio:
Light Gated Recurrent Units for Speech Recognition. IEEE Trans. Emerg. Top. Comput. Intell. 2(2): 92-102 (2018) - [i12]Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio:
Light Gated Recurrent Units for Speech Recognition. CoRR abs/1803.10225 (2018) - [i11]Anirudh Goyal, Philemon Brakel, William Fedus, Timothy P. Lillicrap, Sergey Levine, Hugo Larochelle, Yoshua Bengio:
Recall Traces: Backtracking Models for Efficient Reinforcement Learning. CoRR abs/1804.00379 (2018) - 2017
- [c12]Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio:
A network of deep neural networks for Distant Speech Recognition. ICASSP 2017: 4880-4884 - [c11]Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, Anirudh Goyal, Ryan Lowe, Joelle Pineau, Aaron C. Courville, Yoshua Bengio:
An Actor-Critic Algorithm for Sequence Prediction. ICLR (Poster) 2017 - [c10]Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio:
Improving Speech Recognition by Revising Gated Recurrent Units. INTERSPEECH 2017: 1308-1312 - [i10]Ying Zhang, Mohammad Pezeshki, Philemon Brakel, Saizheng Zhang, César Laurent, Yoshua Bengio, Aaron C. Courville:
Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks. CoRR abs/1701.02720 (2017) - [i9]Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio:
A network of deep neural networks for distant speech recognition. CoRR abs/1703.08002 (2017) - [i8]Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio:
Batch-normalized joint training for DNN-based distant speech recognition. CoRR abs/1703.08471 (2017) - [i7]Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio:
Improving speech recognition by revising gated recurrent units. CoRR abs/1710.00641 (2017) - 2016
- [c9]César Laurent, Gabriel Pereyra, Philemon Brakel, Ying Zhang, Yoshua Bengio:
Batch normalized recurrent neural networks. ICASSP 2016: 2657-2661 - [c8]Dzmitry Bahdanau, Jan Chorowski, Dmitriy Serdyuk, Philemon Brakel, Yoshua Bengio:
End-to-end attention-based large vocabulary speech recognition. ICASSP 2016: 4945-4949 - [c7]Mohammad Pezeshki, Linxi Fan, Philemon Brakel, Aaron C. Courville, Yoshua Bengio:
Deconstructing the Ladder Network Architecture. ICML 2016: 2368-2376 - [c6]Ying Zhang, Mohammad Pezeshki, Philémon Brakel, Saizheng Zhang, César Laurent, Yoshua Bengio, Aaron C. Courville:
Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks. INTERSPEECH 2016: 410-414 - [c5]Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio:
Batch-normalized joint training for DNN-based distant speech recognition. SLT 2016: 28-34 - [i6]Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, Anirudh Goyal, Ryan Lowe, Joelle Pineau, Aaron C. Courville, Yoshua Bengio:
An Actor-Critic Algorithm for Sequence Prediction. CoRR abs/1607.07086 (2016) - [i5]Dmitriy Serdyuk, Kartik Audhkhasi, Philemon Brakel, Bhuvana Ramabhadran, Samuel Thomas, Yoshua Bengio:
Invariant Representations for Noisy Speech Recognition. CoRR abs/1612.01928 (2016) - 2015
- [i4]Dzmitry Bahdanau, Jan Chorowski, Dmitriy Serdyuk, Philemon Brakel, Yoshua Bengio:
End-to-End Attention-based Large Vocabulary Speech Recognition. CoRR abs/1508.04395 (2015) - [i3]César Laurent, Gabriel Pereyra, Philemon Brakel, Ying Zhang, Yoshua Bengio:
Batch Normalized Recurrent Neural Networks. CoRR abs/1510.01378 (2015) - [i2]Mohammad Pezeshki, Linxi Fan, Philemon Brakel, Aaron C. Courville, Yoshua Bengio:
Deconstructing the Ladder Network Architecture. CoRR abs/1511.06430 (2015) - [i1]Dzmitry Bahdanau, Dmitriy Serdyuk, Philemon Brakel, Nan Rosemary Ke, Jan Chorowski, Aaron C. Courville, Yoshua Bengio:
Task Loss Estimation for Sequence Prediction. CoRR abs/1511.06456 (2015) - 2013
- [j2]Philemon Brakel, Dirk Stroobandt, Benjamin Schrauwen:
Training energy-based models for time-series imputation. J. Mach. Learn. Res. 14(1): 2771-2797 (2013) - [c4]Philemon Brakel, Dirk Stroobandt, Benjamin Schrauwen:
Bidirectional truncated recurrent neural networks for efficient speech denoising. INTERSPEECH 2013: 2973-2977 - 2012
- [j1]David Verstraeten, Benjamin Schrauwen, Sander Dieleman, Philemon Brakel, Pieter Buteneers, Dejan Pecevski:
Oger: modular learning architectures for large-scale sequential processing. J. Mach. Learn. Res. 13: 2995-2998 (2012) - [c3]Philemon Brakel, Sander Dieleman, Benjamin Schrauwen:
Training Restricted Boltzmann Machines with Multi-tempering: Harnessing Parallelization. ICANN (2) 2012: 92-99 - [c2]Philemon Brakel, Benjamin Schrauwen:
Energy-Based Temporal Neural Networks for Imputing Missing Values. ICONIP (2) 2012: 575-582 - 2011
- [c1]Sander Dieleman, Philemon Brakel, Benjamin Schrauwen:
Audio-based Music Classification with a Pretrained Convolutional Network. ISMIR 2011: 669-674
Coauthor Index
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