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Sungjin Ahn
Sungjin Ahn
Associate Professor, KAIST
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
Pointing the unknown words
C Gulcehre, S Ahn, R Nallapati, B Zhou, Y Bengio
arXiv preprint arXiv:1603.08148, 2016
5922016
Hierarchical Multiscale Recurrent Neural Networks
J Chung, S Ahn, Y Bengio
International Conference on Learning Representations (ICLR), 2017
5362017
Bayesian Model-Agnostic Meta-Learning
J Yoon*, T Kim*, O Dia, S Kim, Y Bengio, S Ahn
Advances in Neural Information Processing Systems, 7332-7342, 2018
452*2018
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring
S Ahn, A Koratticara, M Welling
International Conference on Machine Learning 2012 (ICML'12), 2012
3142012
Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus
I Vlad Serban, A García-Durán, C Gulcehre, S Ahn, S Chandar, ...
arXiv e-prints, arXiv: 1603.06807, 2016
281*2016
A2S: Automated Agriculture System based on WSN
S Yoo, J Kim, T Kim, S Ahn, J Sung, D Kim
2007 IEEE International Symposium on Consumer Electronics, 1-5, 2007
1702007
Denoising criterion for variational auto-encoding framework
D Im, S Ahn, R Memisevic, Y Bengio
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
1642017
A Neural Knowledge Language Model
S Ahn, H Choi, T Pärnamaa, Y Bengio
arXiv preprint arXiv:1608.00318, 2016
1312016
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition
Z Lin, YF Wu, SV Peri, W Sun, G Singh, F Deng, J Jiang, S Ahn
arXiv preprint arXiv:2001.02407, 2020
1262020
Distributed Stochastic Gradient MCMC
S Ahn, B Shahbaba, M Welling
International Conference on Machine Learning 2014 (ICML'14), 2014
1102014
Hierarchical memory networks
S Chandar, S Ahn, H Larochelle, P Vincent, G Tesauro, Y Bengio
arXiv preprint arXiv:1605.07427, 2016
922016
SCALOR: Generative World Models with Scalable Object Representations
J Jiang*, S Janghorbani*, G de Melo, S Ahn
arXiv preprint arXiv:1910.02384, 2019
79*2019
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC
S Ahn, A Korattikara, N Liu, S Rajan, M Welling
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
642015
Proactive context-aware sensor networks
S Ahn, D Kim
European Workshop on Wireless Sensor Networks, 38-53, 2006
632006
Sequential Neural Processes
G Singh, J Yoon, Y Son, S Ahn
Advances in Neural Information Processing Systems 2019 (NeurIPS'19), 2019
472019
Scalable MCMC for Mixed Membership Stochastic Blockmodels
W Li, S Ahn, M Welling
AISTATS 2016, 2016
462016
Variational Temporal Abstraction
T Kim, S Ahn*, Y Bengio*
Advances in Neural Information Processing Systems 2019 (NeurIPS'19), 2019
372019
Generative Neurosymbolic Machines
J Jiang, S Ahn
Advances in Neural Information Processing Systems 2020 (NeurIPS'20), 2020
352020
Wireless sensor networks for cultural property protection
J Sung, S Ahn, T Park, S Jang, D Yun, J Kang, S Yoo, P Chong, D Kim
22nd International Conference on Advanced Information Networking and …, 2008
342008
Improving Generative Imagination in Object-Centric World Models
Z Lin, YF Wu, S Peri, B Fu, J Jiang, S Ahn
International Conference on Machine Learning 2020 (ICML'20), 2020
302020
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