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Philemon 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
- 2025
- [i18]Michael Bloesch, Markus Wulfmeier, Philemon Brakel, Todor Davchev, Martina Zambelli, Jost Tobias Springenberg, Abbas Abdolmaleki, William F. Whitney, Nicolas Heess, Roland Hafner, Martin A. Riedmiller:
Value from Observations: Towards Large-Scale Imitation Learning via Self-Improvement. CoRR abs/2507.06701 (2025) - [i17]Annie S. Chen, Philemon Brakel, Antonia Bronars, Annie Xie, Sandy H. Huang, Oliver Groth, Maria Bauzá, Markus Wulfmeier, Nicolas Heess, Dushyant Rao:
Exploiting Policy Idling for Dexterous Manipulation. CoRR abs/2508.15669 (2025) - [i16]Gemini Robotics Team, Abbas Abdolmaleki, Saminda Abeyruwan, Joshua Ainslie, Jean-Baptiste Alayrac, Montserrat Gonzalez Arenas, Ashwin Balakrishna, Nathan Batchelor, Alex Bewley, Jeffrey Bingham, Michael Bloesch, Konstantinos Bousmalis, Philemon Brakel, Anthony Brohan, Thomas Buschmann, Arunkumar Byravan, Serkan Cabi, Ken Caluwaerts, Federico Casarini, Christine Chan, Oscar Chang, London Chappellet-Volpini, José Enrique Chen, Xi Chen, Hao-Tien Lewis Chiang, Krzysztof Choromanski, Adrian Collister, David B. D'Ambrosio, Sudeep Dasari, Todor Davchev, Meet Kirankumar Dave, Coline Devin, Norman Di Palo, Tianli Ding, Carl Doersch, Adil Dostmohamed, Yilun Du, Debidatta Dwibedi, Sathish Thoppay Egambaram, Michael Elabd, Tom Erez, Xiaolin Fang, Claudio Fantacci, Cody Fong, Erik Frey, Chuyuan Fu, Ruiqi Gao, Marissa Giustina, Keerthana Gopalakrishnan, Laura Graesser, Oliver Groth, Agrim Gupta, Roland Hafner, Steven Hansen, Leonard Hasenclever, Sam Haves, Nicolas Heess, Brandon Hernaez, Alex Hofer, Jasmine Hsu, Lu Huang, Sandy H. Huang, Atil Iscen, Mithun George Jacob, Deepali Jain, Sally Jesmonth, Abhishek Jindal, Ryan Julian, Dmitry Kalashnikov, M. Emre Karagozler, Stefani Karp, Matija Kecman, J. Chase Kew, Donnie Kim, Frank Kim, Junkyung Kim, Thomas Kipf, Sean Kirmani, Ksenia Konyushkova, Li Yang Ku, Yuheng Kuang, Thomas Lampe, Antoine Laurens, Tuan Anh Le, Isabel Leal, Alex X. Lee, Tsang-Wei Edward Lee, Guy Lever, Jacky Liang, Li-Heng Lin, Fangchen Liu, Shangbang Long, Caden Lu, Sharath Maddineni, Anirudha Majumdar, Kevis-Kokitsi Maninis, Andrew Marmon, Sergio Martinez, Assaf Hurwitz Michaely, Niko Milonopoulos:
Gemini Robotics 1.5: Pushing the Frontier of Generalist Robots with Advanced Embodied Reasoning, Thinking, and Motion Transfer. CoRR abs/2510.03342 (2025) - 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
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
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
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
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
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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