Search Results - "de Brebisson, Alexandre"

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  1. 1

    Deep neural networks for anatomical brain segmentation by de Brebisson, Alexandre, Montana, Giovanni

    “…We present a novel approach to automatically segment magnetic resonance (MR) images of the human brain into anatomical regions. Our methodology is based on a…”
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    Conference Proceeding Journal Article
  2. 2

    Deep Neural Networks for Anatomical Brain Segmentation by de Brebisson, Alexandre, Montana, Giovanni

    Published 09-02-2015
    “…We present a novel approach to automatically segment magnetic resonance (MR) images of the human brain into anatomical regions. Our methodology is based on a…”
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    Journal Article
  3. 3

    MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis by Kumar, Kundan, Kumar, Rithesh, de Boissiere, Thibault, Gestin, Lucas, Teoh, Wei Zhen, Sotelo, Jose, de Brebisson, Alexandre, Bengio, Yoshua, Courville, Aaron

    Published 08-10-2019
    “…Previous works (Donahue et al., 2018a; Engel et al., 2019a) have found that generating coherent raw audio waveforms with GANs is challenging. In this paper, we…”
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    Journal Article
  4. 4

    ObamaNet: Photo-realistic lip-sync from text by Kumar, Rithesh, Sotelo, Jose, Kumar, Kundan, de Brebisson, Alexandre, Bengio, Yoshua

    Published 06-12-2017
    “…We present ObamaNet, the first architecture that generates both audio and synchronized photo-realistic lip-sync videos from any new text. Contrary to other…”
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    Journal Article
  5. 5

    A Deep Reinforcement Learning Chatbot (Short Version) by Serban, Iulian V, Sankar, Chinnadhurai, Germain, Mathieu, Zhang, Saizheng, Lin, Zhouhan, Subramanian, Sandeep, Kim, Taesup, Pieper, Michael, Chandar, Sarath, Ke, Nan Rosemary, Rajeswar, Sai, de Brebisson, Alexandre, Sotelo, Jose M. R, Suhubdy, Dendi, Michalski, Vincent, Nguyen, Alexandre, Pineau, Joelle, Bengio, Yoshua

    Published 20-01-2018
    “…We present MILABOT: a deep reinforcement learning chatbot developed by the Montreal Institute for Learning Algorithms (MILA) for the Amazon Alexa Prize…”
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    Journal Article
  6. 6

    A Deep Reinforcement Learning Chatbot by Serban, Iulian V, Sankar, Chinnadhurai, Germain, Mathieu, Zhang, Saizheng, Lin, Zhouhan, Subramanian, Sandeep, Kim, Taesup, Pieper, Michael, Chandar, Sarath, Ke, Nan Rosemary, Rajeshwar, Sai, de Brebisson, Alexandre, Sotelo, Jose M. R, Suhubdy, Dendi, Michalski, Vincent, Nguyen, Alexandre, Pineau, Joelle, Bengio, Yoshua

    Published 07-09-2017
    “…We present MILABOT: a deep reinforcement learning chatbot developed by the Montreal Institute for Learning Algorithms (MILA) for the Amazon Alexa Prize…”
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    Journal Article
  7. 7

    A Cheap Linear Attention Mechanism with Fast Lookups and Fixed-Size Representations by de Brébisson, Alexandre, Vincent, Pascal

    Published 19-09-2016
    “…The softmax content-based attention mechanism has proven to be very beneficial in many applications of recurrent neural networks. Nevertheless it suffers from…”
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    Journal Article
  8. 8

    The Z-loss: a shift and scale invariant classification loss belonging to the Spherical Family by de Brébisson, Alexandre, Vincent, Pascal

    Published 29-04-2016
    “…Despite being the standard loss function to train multi-class neural networks, the log-softmax has two potential limitations. First, it involves computations…”
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    Journal Article
  9. 9

    An Exploration of Softmax Alternatives Belonging to the Spherical Loss Family by de Brébisson, Alexandre, Vincent, Pascal

    Published 16-11-2015
    “…In a multi-class classification problem, it is standard to model the output of a neural network as a categorical distribution conditioned on the inputs. The…”
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    Journal Article
  10. 10

    Exact gradient updates in time independent of output size for the spherical loss family by Vincent, Pascal, de Brébisson, Alexandre, Bouthillier, Xavier

    Published 26-06-2016
    “…An important class of problems involves training deep neural networks with sparse prediction targets of very high dimension D. These occur naturally in e.g…”
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    Journal Article
  11. 11

    Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets by Vincent, Pascal, de Brébisson, Alexandre, Bouthillier, Xavier

    Published 22-12-2014
    “…An important class of problems involves training deep neural networks with sparse prediction targets of very high dimension D. These occur naturally in e.g…”
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    Journal Article
  12. 12

    Artificial Neural Networks Applied to Taxi Destination Prediction by de Brébisson, Alexandre, Simon, Étienne, Auvolat, Alex, Vincent, Pascal, Bengio, Yoshua

    Published 31-07-2015
    “…We describe our first-place solution to the ECML/PKDD discovery challenge on taxi destination prediction. The task consisted in predicting the destination of a…”
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    Journal Article
  13. 13

    Theano: A Python framework for fast computation of mathematical expressions by The Theano Development Team, Al-Rfou, Rami, Alain, Guillaume, Almahairi, Amjad, Angermueller, Christof, Bahdanau, Dzmitry, Ballas, Nicolas, Bastien, Frédéric, Bayer, Justin, Belikov, Anatoly, Belopolsky, Alexander, Bengio, Yoshua, Bergeron, Arnaud, Snyder, Josh Bleecher, Bouchard, Nicolas, Bouthillier, Xavier, de Brébisson, Alexandre, Breuleux, Olivier, Carrier, Pierre-Luc, Cho, Kyunghyun, Chorowski, Jan, Christiano, Paul, Cooijmans, Tim, Côté, Marc-Alexandre, Côté, Myriam, Courville, Aaron, Dauphin, Yann N, Delalleau, Olivier, Demouth, Julien, Desjardins, Guillaume, Dieleman, Sander, Ducoffe, Mélanie, Dumoulin, Vincent, Kahou, Samira Ebrahimi, Erhan, Dumitru, Fan, Ziye, Firat, Orhan, Germain, Mathieu, Glorot, Xavier, Graham, Matt, Gulcehre, Caglar, Hamel, Philippe, Harlouchet, Iban, Heng, Jean-Philippe, Hidasi, Balázs, Jain, Arjun, Jean, Sébastien, Jia, Kai, Korobov, Mikhail, Kulkarni, Vivek, Lamb, Alex, Lamblin, Pascal, Larsen, Eric, Laurent, César, Lee, Sean, Lefrancois, Simon, Lemieux, Simon, Léonard, Nicholas, Lin, Zhouhan, Livezey, Jesse A, Lowin, Jeremiah, Manzagol, Pierre-Antoine, Mastropietro, Olivier, McGibbon, Robert T, Memisevic, Roland, van Merriënboer, Bart, Michalski, Vincent, Mirza, Mehdi, Orlandi, Alberto, Pascanu, Razvan, Raffel, Colin, Rocklin, Matthew, Romero, Adriana, Sadowski, Peter, Savard, François, Schlüter, Jan, Schulman, John, Schwartz, Gabriel, Serban, Iulian Vlad, Serdyuk, Dmitriy, Shabanian, Samira, Simon, Étienne, Spieckermann, Sigurd, Subramanyam, S. Ramana, Sygnowski, Jakub, Tanguay, Jérémie, van Tulder, Gijs, Turian, Joseph, Urban, Sebastian, Vincent, Pascal, Visin, Francesco, de Vries, Harm, Warde-Farley, David, Webb, Dustin J, Willson, Matthew, Xu, Kelvin, Xue, Lijun, Yao, Li, Zhang, Saizheng, Zhang, Ying

    Published 09-05-2016
    “…Theano is a Python library that allows to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Since its…”
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    Journal Article