Philemon Brakel

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 21

Top Topics

Keyword Spotting

Reinforcement Learning

Noisy Environments

Speech Recognition

Top Venues

IEEE Trans. Emerg. Top. Comput. Intell.

Publications

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 (2024)
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 (2022)
Philemon Brakel, Steven Bohez, Leonard Hasenclever, Nicolas Heess, Konstantinos Bousmalis
Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner. CoRR (2021)
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)
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)
Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio
Light Gated Recurrent Units for Speech Recognition. IEEE Trans. Emerg. Top. Comput. Intell. 2 (2) (2018)
Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio
Light Gated Recurrent Units for Speech Recognition. CoRR (2018)
Anirudh Goyal, Philemon Brakel, William Fedus, Timothy P. Lillicrap, Sergey Levine, Hugo Larochelle, Yoshua Bengio
Recall Traces: Backtracking Models for Efficient Reinforcement Learning. CoRR (2018)
Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio
A network of deep neural networks for distant speech recognition. CoRR (2017)
Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio
Batch-normalized joint training for DNN-based distant speech recognition. CoRR (2017)
Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio
Improving speech recognition by revising gated recurrent units. CoRR (2017)
Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio
A network of deep neural networks for Distant Speech Recognition. ICASSP (2017)
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 (2017)
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)
Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio
Improving Speech Recognition by Revising Gated Recurrent Units. INTERSPEECH (2017)
Dmitriy Serdyuk, Kartik Audhkhasi, Philemon Brakel, Bhuvana Ramabhadran, Samuel Thomas, Yoshua Bengio
Invariant Representations for Noisy Speech Recognition. CoRR (2016)
César Laurent, Gabriel Pereyra, Philemon Brakel, Ying Zhang, Yoshua Bengio
Batch normalized recurrent neural networks. ICASSP (2016)
Dzmitry Bahdanau, Jan Chorowski, Dmitriy Serdyuk, Philemon Brakel, Yoshua Bengio
End-to-end attention-based large vocabulary speech recognition. ICASSP (2016)
Mohammad Pezeshki, Linxi Fan, Philemon Brakel, Aaron C. Courville, Yoshua Bengio
Deconstructing the Ladder Network Architecture. ICML (2016)
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 (2016)
Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio
Batch-normalized joint training for DNN-based distant speech recognition. SLT (2016)
Mohammad Pezeshki, Linxi Fan, Philemon Brakel, Aaron C. Courville, Yoshua Bengio
Deconstructing the Ladder Network Architecture. CoRR (2015)
Dzmitry Bahdanau, Jan Chorowski, Dmitriy Serdyuk, Philemon Brakel, Yoshua Bengio
End-to-End Attention-based Large Vocabulary Speech Recognition. CoRR (2015)
César Laurent, Gabriel Pereyra, Philemon Brakel, Ying Zhang, Yoshua Bengio
Batch Normalized Recurrent Neural Networks. CoRR (2015)
Dzmitry Bahdanau, Dmitriy Serdyuk, Philemon Brakel, Nan Rosemary Ke, Jan Chorowski, Aaron C. Courville, Yoshua Bengio
Task Loss Estimation for Sequence Prediction. CoRR (2015)
Philemon Brakel, Dirk Stroobandt, Benjamin Schrauwen
Training energy-based models for time-series imputation. J. Mach. Learn. Res. 14 (1) (2013)
Philemon Brakel, Dirk Stroobandt, Benjamin Schrauwen
Bidirectional truncated recurrent neural networks for efficient speech denoising. INTERSPEECH (2013)
Philemon Brakel, Benjamin Schrauwen
Energy-Based Temporal Neural Networks for Imputing Missing Values. ICONIP (2) (2012)
Philemon Brakel, Sander Dieleman, Benjamin Schrauwen
Training Restricted Boltzmann Machines with Multi-tempering: Harnessing Parallelization. ICANN (2) (2012)
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 (2012)
Sander Dieleman, Philemon Brakel, Benjamin Schrauwen
Audio-based Music Classification with a Pretrained Convolutional Network. ISMIR (2011)