Research Output per year
Fingerprint Dive into the research topics where Sungjin Ahn is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Wireless sensor networks
Engineering & Materials Science
Markov processes
Engineering & Materials Science
Markov Chain Monte Carlo
Mathematics
Learning systems
Engineering & Materials Science
Stochastic Gradient
Mathematics
Recurrent neural networks
Engineering & Materials Science
Regeneration
Mathematics
Sampling
Engineering & Materials Science
Network
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Research Output 2005 2019
Hierarchical multiscale recurrent neural networks
Chung, J., Ahn, S. & Bengio, Y., Jan 1 2019.Research output: Contribution to conference › Paper
Recurrent neural networks
neural network
handwriting
evidence
lack
Bayesian model-agnostic meta-learning
Yoon, J., Kim, T., Dia, O., Kim, S., Bengio, Y. & Ahn, S., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 7332-7342 11 p.Research output: Contribution to journal › Conference article
Reinforcement learning
Image classification
Experiments
Uncertainty
Problem-Based Learning
Denoising criterion for variational auto-encoding framework
Im, D. J., Ahn, S., Memisevic, R. & Bengio, Y., Jan 1 2017, p. 2059-2065. 7 p.Research output: Contribution to conference › Paper
4
Citations
(Scopus)
SENA: Preserving social structure for network embedding
Hong, S., Chakraborty, T., Ahn, S., Husari, G. & Park, N., Jul 4 2017, HT 2017 - Proceedings of the 28th ACM Conference on Hypertext and Social Media. Association for Computing Machinery, Inc, p. 235-244 10 p. (HT 2017 - Proceedings of the 28th ACM Conference on Hypertext and Social Media).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Electric network analysis
Generating factoid questionswith recurrent neural networks: The 30M factoid question-answer corpus
Serban, I. V., García-Durán, A., Gulcehre, C., Ahn, S., Chandar, S., Courville, A. & Bengio, Y., Jan 1 2016, 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers. Association for Computational Linguistics (ACL), p. 588-598 11 p. (54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
neural network
evaluation
learning
language
Recurrent Neural Networks