Sungjin Ahn

CoRR, 2024

Structured World Modeling via Semantic Vector Quantization.

[BibT_eX]

[DOI]

Minseung Lee

CoRR, 2024

Simple Hierarchical Planning with Diffusion.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Computational Prediction of the Phenotypic Effect of Flavonoids on Adiponectin Biosynthesis.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., February, 2023

Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Object-Centric Slot Diffusion.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Facing Off World Model Backbones: RNNs, Transformers, and S4.

[BibT_eX]

[DOI]

Junyeong Park

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Neural Systematic Binder.

[BibT_eX]

[DOI]

Yeongbin Kim

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Neural Block-Slot Representations.

[BibT_eX]

[DOI]

Yeongbin Kim

CoRR, 2022

TransDreamer: Reinforcement Learning with Transformer World Models.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

[BibT_eX]

[DOI]

Ingook Jang

Proceedings of the International Conference on Machine Learning, 2022

Illiterate DALL-E Learns to Compose.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

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

[BibT_eX]

[DOI]

Chang Chen

J. Mach. Learn. Res., 2021

Generative Video Transformer: Can Objects be the Words?

[BibT_eX]

[DOI]

Jaesik Yoon

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

Structured World Belief for Reinforcement Learning in POMDP.

[BibT_eX]

[DOI]

Skand Vishwanath Peri

Junghyun Kim

Hyunseok Kim

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

Generative Scene Graph Networks.

[BibT_eX]

[DOI]

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

2020

Learning to Infer 3D Object Models from Images.

[BibT_eX]

[DOI]

Chang Chen

CoRR, 2020

Generative Neurosymbolic Machines.

[BibT_eX]

[DOI]

Jindong Jiang

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

Robustifying Sequential Neural Processes.

[BibT_eX]

[DOI]

Jaesik Yoon

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

Improving Generative Imagination in Object-Centric World Models.

[BibT_eX]

[DOI]

Zhixuan Lin

Skand Vishwanath Peri

Bofeng Fu

Jindong Jiang

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

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

[BibT_eX]

[DOI]

Zhixuan Lin

Skand Vishwanath Peri

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

SCALOR: Generative World Models with Scalable Object Representations.

[BibT_eX]

[DOI]

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

2019

Generative Hierarchical Models for Parts, Objects, and Scenes.

[BibT_eX]

[DOI]

Zhuo Zhi

CoRR, 2019

Scalable Object-Oriented Sequential Generative Models.

[BibT_eX]

[DOI]

CoRR, 2019

Reinforced Imitation in Heterogeneous Action Space.

[BibT_eX]

[DOI]

CoRR, 2019

Sequential Neural Processes.

[BibT_eX]

[DOI]

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

Neural Multisensory Scene Inference.

[BibT_eX]

[DOI]

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

Variational Temporal Abstraction.

[BibT_eX]

[DOI]

Taesup Kim

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.

[BibT_eX]

[DOI]

Pedro O. Pinheiro

Negar Rostamzadeh

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

2018

Learning Single-View 3D Reconstruction with Adversarial Training.

[BibT_eX]

[DOI]

Pedro O. Pinheiro

Negar Rostamzadeh

CoRR, 2018

Bayesian Model-Agnostic Meta-Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Junyoung Chung

Yoshua Bengio

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

SENA: Preserving Social Structure for Network Embedding.

[BibT_eX]

[DOI]

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

Denoising Criterion for Variational Auto-Encoding Framework.

[BibT_eX]

[DOI]

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

2016

Hierarchical Memory Networks.

[BibT_eX]

[DOI]

CoRR, 2016

A Neural Knowledge Language Model.

[BibT_eX]

[DOI]

CoRR, 2016

Scalable Overlapping Community Detection.

[BibT_eX]

[DOI]

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

Scalable MCMC for Mixed Membership Stochastic Blockmodels.

[BibT_eX]

[DOI]

Wenzhe Li

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.

[BibT_eX]

[DOI]

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

Pointing the Unknown Words.

[BibT_eX]

[DOI]

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

2015

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

[BibT_eX]

[DOI]

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

2014

Distributed Stochastic Gradient MCMC.

[BibT_eX]

[DOI]

Babak Shahbaba

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

2013

Distributed and Adaptive Darting Monte Carlo through Regenerations.

[BibT_eX]

[DOI]

Yutian Chen

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

2012

Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring.

[BibT_eX]

[DOI]

Anoop Korattikara Balan

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

2008

Wireless Sensor Networks for Cultural Property Protection.

[BibT_eX]

[DOI]

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

2007

Mosaic Localization for Wireless Sensor Networks.

[BibT_eX]

[DOI]

Jihoon Kang

Daeyoung Kim

Proceedings of the IEEE Wireless Communications and Networking Conference, 2007

2006

Proactive Context-Aware Sensor Networks.

[BibT_eX]

[DOI]