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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
6222016
Hierarchical Multiscale Recurrent Neural Networks
J Chung, S Ahn, Y Bengio
International Conference on Learning Representations (ICLR), 2017
5742017
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
509*2018
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring
S Ahn, A Koratticara, M Welling
International Conference on Machine Learning 2012 (ICML'12), 2012
3222012
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
307*2016
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
1772017
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
1762007
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
1502020
A Neural Knowledge Language Model
S Ahn, H Choi, T Pärnamaa, Y Bengio
arXiv preprint arXiv:1608.00318, 2016
1392016
Distributed Stochastic Gradient MCMC
S Ahn, B Shahbaba, M Welling
International Conference on Machine Learning 2014 (ICML'14), 2014
1192014
SCALOR: Generative World Models with Scalable Object Representations
J Jiang*, S Janghorbani*, G de Melo, S Ahn
arXiv preprint arXiv:1910.02384, 2019
95*2019
Hierarchical Memory Networks
S Chandar, S Ahn, H Larochelle, P Vincent, G Tesauro, Y Bengio
arXiv preprint arXiv:1605.07427, 2016
942016
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
682015
Proactive Context-Aware Sensor Networks
S Ahn, D Kim
European Workshop on Wireless Sensor Networks, 38-53, 2006
642006
Sequential Neural Processes
G Singh, J Yoon, Y Son, S Ahn
Advances in Neural Information Processing Systems 2019 (NeurIPS'19), 2019
582019
Variational Temporal Abstraction
T Kim, S Ahn*, Y Bengio*
Advances in Neural Information Processing Systems 2019 (NeurIPS'19), 2019
492019
Scalable MCMC for Mixed Membership Stochastic Blockmodels
W Li, S Ahn, M Welling
AISTATS 2016, 2016
492016
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
432020
Generative Neurosymbolic Machines
J Jiang, S Ahn
Advances in Neural Information Processing Systems 2020 (NeurIPS'20), 2020
422020
Illiterate DALLE Learns to Compose
G Singh, F Deng, S Ahn
International Conference on Learning Representations 2022 (ICLR'22), 2021
38*2021
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