Sungjin Ahn

According to our database, Sungjin Ahn authored at least 40 papers between 2005 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos.

Gautam Singh, Yi-Fu Wu, Sungjin Ahn

CoRR, 2022

TransDreamer: Reinforcement Learning with Transformer World Models.

Chang Chen, Yi-Fu Wu, Jaesik Yoon, Sungjin Ahn

CoRR, 2022

DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations.

Fei Deng, Ingook Jang, Sungjin Ahn

Proceedings of the International Conference on Machine Learning, 2022

2021

ROOTS: Object-Centric Representation and Rendering of 3D Scenes.

Chang Chen, Fei Deng, Sungjin Ahn

J. Mach. Learn. Res., 2021

Illiterate DALL-E Learns to Compose.

Gautam Singh, Fei Deng, Sungjin Ahn

CoRR, 2021

Generative Video Transformer: Can Objects be the Words?

Yi-Fu Wu, Jaesik Yoon, Sungjin Ahn

Proceedings of the 38th International Conference on Machine Learning, 2021

Structured World Belief for Reinforcement Learning in POMDP.

Gautam Singh, Skand Vishwanath Peri, Junghyun Kim, Hyunseok Kim, Sungjin Ahn

Proceedings of the 38th International Conference on Machine Learning, 2021

Generative Scene Graph Networks.

Fei Deng, Zhuo Zhi, Donghun Lee, Sungjin Ahn

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Learning to Infer 3D Object Models from Images.

Chang Chen, Fei Deng, Sungjin Ahn

CoRR, 2020

Generative Neurosymbolic Machines.

Jindong Jiang, Sungjin Ahn

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Robustifying Sequential Neural Processes.

Jaesik Yoon, Gautam Singh, Sungjin Ahn

Proceedings of the 37th International Conference on Machine Learning, 2020

Improving Generative Imagination in Object-Centric World Models.

Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri, Bofeng Fu, Jindong Jiang, Sungjin Ahn

Proceedings of the 37th International Conference on Machine Learning, 2020

SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition.

Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri, Weihao Sun, Gautam Singh, Fei Deng, Jindong Jiang, Sungjin Ahn

Proceedings of the 8th International Conference on Learning Representations, 2020

SCALOR: Generative World Models with Scalable Object Representations.

Jindong Jiang, Sepehr Janghorbani, Gerard de Melo, Sungjin Ahn

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Generative Hierarchical Models for Parts, Objects, and Scenes.

Fei Deng, Zhuo Zhi, Sungjin Ahn

CoRR, 2019

Scalable Object-Oriented Sequential Generative Models.

Jindong Jiang, Sepehr Janghorbani, Gerard de Melo, Sungjin Ahn

CoRR, 2019

Reinforced Imitation in Heterogeneous Action Space.

Konrad Zolna, Negar Rostamzadeh, Yoshua Bengio, Sungjin Ahn, Pedro O. Pinheiro

CoRR, 2019

Sequential Neural Processes.

Gautam Singh, Jaesik Yoon, Youngsung Son, Sungjin Ahn

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Neural Multisensory Scene Inference.

Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Chris Pal, Sungjin Ahn

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Variational Temporal Abstraction.

Taesup Kim, Sungjin Ahn, Yoshua Bengio

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Domain-Adaptive Single-View 3D Reconstruction.

Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Learning Single-View 3D Reconstruction with Adversarial Training.

Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn

CoRR, 2018

Bayesian Model-Agnostic Meta-Learning.

Jaesik Yoon, Taesup Kim, Ousmane Dia, Sungwoong Kim, Yoshua Bengio, Sungjin Ahn

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Hierarchical Multiscale Recurrent Neural Networks.

Junyoung Chung, Sungjin Ahn, Yoshua Bengio

Proceedings of the 5th International Conference on Learning Representations, 2017

SENA: Preserving Social Structure for Network Embedding.

Sanghyun Hong, Tanmoy Chakraborty, Sungjin Ahn, Ghaith Husari, Noseong Park

Proceedings of the 28th ACM Conference on Hypertext and Social Media, 2017

Denoising Criterion for Variational Auto-Encoding Framework.

Daniel Jiwoong Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Hierarchical Memory Networks.

Sarath Chandar, Sungjin Ahn, Hugo Larochelle, Pascal Vincent, Gerald Tesauro, Yoshua Bengio

CoRR, 2016

A Neural Knowledge Language Model.

Sungjin Ahn, Heeyoul Choi, Tanel Pärnamaa, Yoshua Bengio

CoRR, 2016

Scalable Overlapping Community Detection.

Ismail El-Helw, Rutger F. H. Hofman, Wenzhe Li, Sungjin Ahn, Max Welling, Henri E. Bal

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

Scalable MCMC for Mixed Membership Stochastic Blockmodels.

Wenzhe Li, Sungjin Ahn, Max Welling

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus.

Iulian Vlad Serban, Alberto García-Durán, Çaglar Gülçehre, Sungjin Ahn, Sarath Chandar, Aaron C. Courville, Yoshua Bengio

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Pointing the Unknown Words.

Çaglar Gülçehre, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, Yoshua Bengio

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC.

Sungjin Ahn, Anoop Korattikara, Nathan Liu, Suju Rajan, Max Welling

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

Distributed Stochastic Gradient MCMC.

Sungjin Ahn, Babak Shahbaba, Max Welling

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Distributed and Adaptive Darting Monte Carlo through Regenerations.

Sungjin Ahn, Yutian Chen, Max Welling

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring.

Sungjin Ahn, Anoop Korattikara Balan, Max Welling

Proceedings of the 29th International Conference on Machine Learning, 2012

2008

Wireless Sensor Networks for Cultural Property Protection.

Jongwoo Sung, Sungjin Ahn, Taesoo Park, Seonghun Jang, Dongheui Yun, Jonggu Kang, Seongeun Yoo, Pohkit Chong, Daeyoung Kim

Proceedings of the 22nd International Conference on Advanced Information Networking and Applications, 2008

2007

Mosaic Localization for Wireless Sensor Networks.

Jihoon Kang, Daeyoung Kim, Sungjin Ahn

Proceedings of the IEEE Wireless Communications and Networking Conference, 2007

2006

Proactive Context-Aware Sensor Networks.

Sungjin Ahn, Daeyoung Kim

Proceedings of the Wireless Sensor Networks, Third European Workshop, 2006

2005

Power-Aware Position Vector Routing for Wireless Sensor Networks.

Sangsoo Lee, Daeyoung Kim, Sungjin Ahn, Noseong Park

Proceedings of the Embedded and Ubiquitous Computing - EUC 2005 Workshops, 2005