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Pascal Lamblin
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2020 – today
- 2024
- [c9]Manushree Vijayvergiya
, Malgorzata Salawa
AI-Assisted Assessment of Coding Practices in Modern Code Review. AIware 2024 - [c8]Alexander Frömmgen
Resolving Code Review Comments with Machine Learning. ICSE-SEIP 2024: 204-215 - [i7]Manushree Vijayvergiya, Malgorzata Salawa, Ivan Budiselic, Dan Zheng, Pascal Lamblin, Marko Ivankovic, Juanjo Carin, Mateusz Lewko, Jovan Andonov, Goran Petrovic, Daniel Tarlow, Petros Maniatis, René Just:
AI-Assisted Assessment of Coding Practices in Modern Code Review. CoRR abs/2405.13565 (2024) - 2021
- [c7]Zimin Chen, Vincent J. Hellendoorn, Pascal Lamblin, Petros Maniatis, Pierre-Antoine Manzagol, Daniel Tarlow, Subhodeep Moitra:
PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair. NeurIPS 2021: 23089-23101 - 2020
- [c6]Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Utku Evci, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle:
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples. ICLR 2020
2010 – 2019
- 2019
- [i6]Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle:
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples. CoRR abs/1903.03096 (2019) - 2018
- [c5]Bart van Merrienboer, Olivier Breuleux, Arnaud Bergeron, Pascal Lamblin:
Automatic differentiation in ML: Where we are and where we should be going. NeurIPS 2018: 8771-8781 - [i5]Bart van Merriënboer, Olivier Breuleux, Arnaud Bergeron, Pascal Lamblin:
Automatic differentiation in ML: Where we are and where we should be going. CoRR abs/1810.11530 (2018) - 2016
- [j2]Samira Ebrahimi Kahou, Xavier Bouthillier, Pascal Lamblin, Çaglar Gülçehre
EmoNets: Multimodal deep learning approaches for emotion recognition in video. J. Multimodal User Interfaces 10(2): 99-111 (2016) - [i4]Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph P. Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang:
Theano: A Python framework for fast computation of mathematical expressions. CoRR abs/1605.02688 (2016) - 2015
- [i3]Samira Ebrahimi Kahou, Xavier Bouthillier, Pascal Lamblin, Çaglar Gülçehre, Vincent Michalski, Kishore Reddy Konda, Sébastien Jean, Pierre Froumenty, Yann N. Dauphin, Nicolas Boulanger-Lewandowski, Raul Chandias Ferrari, Mehdi Mirza, David Warde-Farley, Aaron C. Courville, Pascal Vincent, Roland Memisevic, Christopher J. Pal, Yoshua Bengio:
EmoNets: Multimodal deep learning approaches for emotion recognition in video. CoRR abs/1503.01800 (2015) - 2013
- [c4]Samira Ebrahimi Kahou, Christopher J. Pal, Xavier Bouthillier, Pierre Froumenty, Çaglar Gülçehre
Combining modality specific deep neural networks for emotion recognition in video. ICMI 2013: 543-550 - [i2]Ian J. Goodfellow, David Warde-Farley, Pascal Lamblin, Vincent Dumoulin, Mehdi Mirza, Razvan Pascanu, James Bergstra, Frédéric Bastien, Yoshua Bengio:
Pylearn2: a machine learning research library. CoRR abs/1308.4214 (2013) - 2012
- [i1]Frédéric Bastien, Pascal Lamblin, Razvan Pascanu, James Bergstra, Ian J. Goodfellow, Arnaud Bergeron, Nicolas Bouchard, David Warde-Farley, Yoshua Bengio:
Theano: new features and speed improvements. CoRR abs/1211.5590 (2012) - 2010
- [c3]James Bergstra, Olivier Breuleux, Frédéric Bastien, Pascal Lamblin, Razvan Pascanu, Guillaume Desjardins, Joseph P. Turian, David Warde-Farley, Yoshua Bengio:
Theano: A CPU and GPU Math Compiler in Python. SciPy 2010: 18-24
2000 – 2009
- 2009
- [j1]Hugo Larochelle, Yoshua Bengio, Jérôme Louradour, Pascal Lamblin:
Exploring Strategies for Training Deep Neural Networks. J. Mach. Learn. Res. 10: 1-40 (2009) - 2007
- [c2]Nicolas Le Roux, Yoshua Bengio, Pascal Lamblin, Marc Joliveau, Balázs Kégl:
Learning the 2-D Topology of Images. NIPS 2007: 841-848 - 2006
- [c1]Yoshua Bengio, Pascal Lamblin, Dan Popovici, Hugo Larochelle:
Greedy Layer-Wise Training of Deep Networks. NIPS 2006: 153-160
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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