| Neural autoregressive flows CW Huang, D Krueger, A Lacoste, A Courville arXiv preprint arXiv:1804.00779, 2018 | 74 | 2018 |
| Bayesian hypernetworks D Krueger, CW Huang, R Islam, R Turner, A Lacoste, A Courville arXiv preprint arXiv:1710.04759, 2017 | 48 | 2017 |
| Neural language modeling by jointly learning syntax and lexicon Y Shen, Z Lin, CW Huang, A Courville arXiv preprint arXiv:1711.02013, 2017 | 36 | 2017 |
| Improving explorability in variational inference with annealed variational objectives CW Huang, S Tan, A Lacoste, AC Courville Advances in Neural Information Processing Systems, 9701-9711, 2018 | 10 | 2018 |
| Learnable Explicit Density for Continuous Latent Space and Variational Inference CW Huang, A Touati, L Dinh, M Drozdzal, M Havaei, L Charlin, ... https://arxiv.org/abs/1710.02248, 2017 | 5 | 2017 |
| Hierarchical importance weighted autoencoders CW Huang, K Sankaran, E Dhekane, A Lacoste, A Courville arXiv preprint arXiv:1905.04866, 2019 | 3 | 2019 |
| Generating contradictory, neutral, and entailing sentences Y Shen, S Tan, CW Huang, A Courville arXiv preprint arXiv:1803.02710, 2018 | 2 | 2018 |
| Investigating Biases in Textual Entailment Datasets S Tan, Y Shen, C Huang, A Courville arXiv preprint arXiv:1906.09635, 2019 | | 2019 |
| Stochastic Neural Network with Kronecker Flow CW Huang, A Touati, P Vincent, GK Dziugaite, A Lacoste, A Courville arXiv preprint arXiv:1906.04282, 2019 | | 2019 |
| Note on the bias and variance of variational inference CW Huang, A Courville arXiv preprint arXiv:1906.03708, 2019 | | 2019 |
| vGraph: A Generative Model for Joint Community Detection and Node Representation Learning FY Sun, M Qu, J Hoffmann, CW Huang, J Tang Advances in Neural Information Processing Systems, 512-522, 2019 | | 2019 |
| On Difficulties of Probability Distillation CW Huang, F Ahmed, K Kumar, A Lacoste, A Courville | | 2018 |
| Facilitating Multimodality in Normalizing Flows CW Huang, D Krueger, A Courville http://bayesiandeeplearning.org/2017/papers/75.pdf, 2017 | | 2017 |
| Sequentialized Sampling Importance Resampling and Scalable IWAE CW Huang, A Courville | | 2017 |
| Probability distillation: A caveat and alternatives CW Huang, F Ahmed, K Kumar, A Lacoste, A Courville | | |
Aaron CourvilleUniversité de MontréalVerified email at umontreal.ca
