Sungjin Ahn

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Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Jaesik YoonSAP, KAISTVerified email at sap.com
Gautam SinghPhD Candidate, Department of Computer Science, Rutgers UniversityVerified email at rutgers.edu
Fei DengPhD Candidate, Department of Computer Science, Rutgers UniversityVerified email at rutgers.edu
Jindong JiangRutgers UniversityVerified email at rutgers.edu
Caglar GulcehreAI Researcher, Prof at EPFL, Consultant@Google DeepMind, ex-Staff Research Scientist@Google DeepMindVerified email at google.com
Yi-Fu WuRutgers UniversityVerified email at rutgers.edu
Max WellingCAIO CuspAI & Professor Machine Learning, University of AmsterdamVerified email at uva.nl
Taesup KimAssistant Professor, Seoul National UniversityVerified email at snu.ac.kr
Daeyoung KimProfessor of School of Computing, KAISTVerified email at kaist.ac.kr
Sarath ChandarAssociate Professor @ Polytechnique Montreal. Mila. Canada CIFAR AI Chair. Canada Research Chair.Verified email at polymtl.ca
Ousmane Amadou DiaMeta, Inc.Verified email at fb.com
Sungwoong KimAssociate Professor, Korea UniversityVerified email at korea.ac.kr
Skand PeriOregon State UniversityVerified email at oregonstate.edu
Anoop KorattikaraGoogleVerified email at google.com
Aaron CourvilleProfessor, DIRO, Université de Montréal, Mila, Cifar CAI chairVerified email at umontreal.ca
Alberto García-DuránAtinary TechnologiesVerified email at atinary.com
Zhixuan LinUniversity of Montreal; MilaVerified email at mila.quebec
Bowen ZhouChair Professor, Department of Electrical Engineering, Tsinghua University; Founder of Frontis.aiVerified email at tsinghua.edu.cn
Junyoung ChungResearch Scientist, Google DeepMindVerified email at google.com

Sungjin Ahn

Associate Professor, KAIST

Verified email at kaist.ac.kr - Homepage

Machine Learning Deep Learning Reinforcement Learning AI Cognitive Science


Title Sort by citations Sort by year Sort by 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	673	2016
Hierarchical Multiscale Recurrent Neural Networks J Chung, S Ahn, Y Bengio International Conference on Learning Representations (ICLR), 2017	655	2017
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	617*	2018
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	360*	2016
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring S Ahn, A Koratticara, M Welling International Conference on Machine Learning 2012 (ICML'12), 2012	357	2012
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	241	2020
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	237	2017
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	192	2007
A Neural Knowledge Language Model S Ahn, H Choi, T Pärnamaa, Y Bengio arXiv preprint arXiv:1608.00318, 2016	153	2016
SCALOR: Generative World Models with Scalable Object Representations J Jiang, S Janghorbani, G de Melo, S Ahn arXiv preprint arXiv:1910.02384, 2019	141*	2019
Distributed Stochastic Gradient MCMC S Ahn, B Shahbaba, M Welling International Conference on Machine Learning 2014 (ICML'14), 2014	129	2014
Illiterate DALLE Learns to Compose G Singh, F Deng, S Ahn International Conference on Learning Representations 2022 (ICLR'22), 2022	114*	2022
Hierarchical Memory Networks S Chandar, S Ahn, H Larochelle, P Vincent, G Tesauro, Y Bengio arXiv preprint arXiv:1605.07427, 2016	109	2016
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos G Singh, YF Wu, S Ahn Advances in Neural Information Processing Systems 2022 (NeurIPS'22), 2022	93	2022
Sequential Neural Processes G Singh, J Yoon, Y Son, S Ahn Advances in Neural Information Processing Systems 2019 (NeurIPS'19), 2019	82	2019
Variational Temporal Abstraction T Kim, S Ahn, Y Bengio Advances in Neural Information Processing Systems 2019 (NeurIPS'19), 2019	77	2019
TransDreamer: Reinforcement Learning with Transformer World Models C Chen, YF Wu, J Yoon, S Ahn arXiv preprint arXiv:2202.09481, 2022	74	2022
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	74	2015
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	71	2020
Proactive Context-Aware Sensor Networks S Ahn, D Kim European Workshop on Wireless Sensor Networks, 38-53, 2006	64	2006

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