• 385 Citations
  • 10 h-Index
20052019
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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.

  • 23 Similar Profiles
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

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Research Output 2005 2019

  • 385 Citations
  • 10 h-Index
  • 13 Conference contribution
  • 3 Paper
  • 2 Conference article

Hierarchical multiscale recurrent neural networks

Chung, J., Ahn, S. & Bengio, Y., Jan 1 2019.

Rutgers, The State University

Research output: Contribution to conferencePaper

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.

Rutgers, The State University

Research output: Contribution to journalConference 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.

Rutgers, The State University

Research output: Contribution to conferencePaper

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).

Rutgers, The State University

Research output: Chapter in Book/Report/Conference proceedingConference 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).

Rutgers, The State University

Research output: Chapter in Book/Report/Conference proceedingConference contribution

neural network
evaluation
learning
language
Recurrent Neural Networks