Aaron C. Courville, Ph.D.
Affiliations: | 2006 | Carnegie Mellon University, Pittsburgh, PA |
Area:
Computational neuroscience, Animal learningGoogle:
"Aaron Courville"Mean distance: 15.98 (cluster 29)
Parents
Sign in to add mentor| Berj L. Bardakjian | research assistant | 1993-1999 | University of Toronto (BME Tree) | |
| David Touretzky | grad student | 2006 | Carnegie Mellon | |
| (A latent cause theory of classical conditioning.) | ||||
Children
Sign in to add trainee| Amartya Mitra | research assistant | 2019- | McGill University/Université de Montréal (Physics Tree) |
Collaborators
Sign in to add collaborator| Yoshua Bengio | collaborator | Université de Montréal (Computer Science Tree) |
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Publications
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| Rajeswar S, Mannan F, Golemo F, et al. (2020) Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images Using a View-Based Representation International Journal of Computer Vision. 1-16 |
| Dumoulin V, Perez E, Schucher N, et al. (2018) Feature-wise transformations Distill. 3 |
| Havaei M, Davy A, Warde-Farley D, et al. (2016) Brain tumor segmentation with Deep Neural Networks. Medical Image Analysis. 35: 18-31 |
| Goodfellow IJ, Erhan D, Luc Carrier P, et al. (2015) Challenges in representation learning: a report on three machine learning contests. Neural Networks : the Official Journal of the International Neural Network Society. 64: 59-63 |
| Cho K, Courville A, Bengio Y. (2015) Describing Multimedia Content Using Attention-Based Encoder-Decoder Networks Ieee Transactions On Multimedia. 17: 1875-1886 |
| Kahou SE, Bouthillier X, Lamblin P, et al. (2015) EmoNets: Multimodal deep learning approaches for emotion recognition in video Journal On Multimodal User Interfaces |
| Chung J, Kastner K, Dinh L, et al. (2015) A recurrent latent variable model for sequential data Advances in Neural Information Processing Systems. 2015: 2980-2988 |
| Courville A, Desjardins G, Bergstra J, et al. (2014) The Spike-and-Slab RBM and Extensions to Discrete and Sparse Data Distributions. Ieee Transactions On Pattern Analysis and Machine Intelligence. 36: 1874-87 |
| Goodfellow IJ, Pouget-Abadie J, Mirza M, et al. (2014) Generative adversarial nets Advances in Neural Information Processing Systems. 3: 2672-2680 |
| Dumoulin V, Goodfellow IJ, Courville A, et al. (2014) On the challenges of physical implementations of RBMs Proceedings of the National Conference On Artificial Intelligence. 2: 1199-1205 |