Sungjin Ahn

According to our database1, Sungjin Ahn authored at least 40 papers between 2005 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos.
CoRR, 2022

TransDreamer: Reinforcement Learning with Transformer World Models.
CoRR, 2022

DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations.
Proceedings of the International Conference on Machine Learning, 2022

2021
ROOTS: Object-Centric Representation and Rendering of 3D Scenes.
J. Mach. Learn. Res., 2021

Illiterate DALL-E Learns to Compose.
CoRR, 2021

Generative Video Transformer: Can Objects be the Words?
Proceedings of the 38th International Conference on Machine Learning, 2021

Structured World Belief for Reinforcement Learning in POMDP.
Proceedings of the 38th International Conference on Machine Learning, 2021

Generative Scene Graph Networks.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Learning to Infer 3D Object Models from Images.
CoRR, 2020

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

Robustifying Sequential Neural Processes.
Proceedings of the 37th International Conference on Machine Learning, 2020

Improving Generative Imagination in Object-Centric World Models.
Proceedings of the 37th International Conference on Machine Learning, 2020

SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition.
Proceedings of the 8th International Conference on Learning Representations, 2020

SCALOR: Generative World Models with Scalable Object Representations.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Generative Hierarchical Models for Parts, Objects, and Scenes.
CoRR, 2019

Scalable Object-Oriented Sequential Generative Models.
CoRR, 2019

Reinforced Imitation in Heterogeneous Action Space.
CoRR, 2019

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

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

Variational Temporal Abstraction.
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.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Learning Single-View 3D Reconstruction with Adversarial Training.
CoRR, 2018

Bayesian Model-Agnostic Meta-Learning.
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.
Proceedings of the 5th International Conference on Learning Representations, 2017

SENA: Preserving Social Structure for Network Embedding.
Proceedings of the 28th ACM Conference on Hypertext and Social Media, 2017

Denoising Criterion for Variational Auto-Encoding Framework.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Hierarchical Memory Networks.
CoRR, 2016

A Neural Knowledge Language Model.
CoRR, 2016

Scalable Overlapping Community Detection.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

Scalable MCMC for Mixed Membership Stochastic Blockmodels.
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.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Pointing the Unknown Words.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
Distributed Stochastic Gradient MCMC.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Distributed and Adaptive Darting Monte Carlo through Regenerations.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring.
Proceedings of the 29th International Conference on Machine Learning, 2012

2008
Wireless Sensor Networks for Cultural Property Protection.
Proceedings of the 22nd International Conference on Advanced Information Networking and Applications, 2008

2007
Mosaic Localization for Wireless Sensor Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2007

2006
Proactive Context-Aware Sensor Networks.
Proceedings of the Wireless Sensor Networks, Third European Workshop, 2006

2005
Power-Aware Position Vector Routing for Wireless Sensor Networks.
Proceedings of the Embedded and Ubiquitous Computing - EUC 2005 Workshops, 2005


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