Yi-Fu Wu

According to our database, Yi-Fu Wu authored at least 10 papers between 2020 and 2025.

Collaborative distances:

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

2025

Dreamweaver: Learning Compositional World Representations from Pixels.

Junyeob Baek, Yi-Fu Wu, Gautam Singh, Sungjin Ahn

CoRR, January, 2025

2024

Structured World Modeling via Semantic Vector Quantization.

Yi-Fu Wu, Minseung Lee, Sungjin Ahn

CoRR, 2024

Neural Language of Thought Models.

Yi-Fu Wu, Minseung Lee, Sungjin Ahn

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Object-Centric Semantic Vector Quantization.

Yi-Fu Wu, Minseung Lee, Sungjin Ahn

Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023

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

Jaesik Yoon, Yi-Fu Wu, Heechul Bae, Sungjin Ahn

Proceedings of the International Conference on Machine Learning, 2023

2022

TransDreamer: Reinforcement Learning with Transformer World Models.

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

CoRR, 2022

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

Gautam Singh, Yi-Fu Wu, Sungjin Ahn

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

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

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