| 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 | 240 | 2020 |
| Simple unsupervised object-centric learning for complex and naturalistic videos G Singh, YF Wu, S Ahn Advances in Neural Information Processing Systems 35, 18181-18196, 2022 | 91 | 2022 |
| Transdreamer: Reinforcement learning with transformer world models C Chen, YF Wu, J Yoon, S Ahn arXiv preprint arXiv:2202.09481, 2022 | 73 | 2022 |
| 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, 6140-6149, 2020 | 69 | 2020 |
| Generative video transformer: Can objects be the words? YF Wu, J Yoon, S Ahn International Conference on Machine Learning, 11307-11318, 2021 | 30 | 2021 |
| An investigation into pre-training object-centric representations for reinforcement learning J Yoon, YF Wu, H Bae, S Ahn arXiv preprint arXiv:2302.04419, 2023 | 26 | 2023 |
| Neural Language of Thought Models YF Wu, M Lee, S Ahn arXiv preprint arXiv:2402.01203, 2024 | 2* | 2024 |
| Inverted-attention transformers can learn object representations: Insights from slot attention YF Wu, K Greff, GF Elsayed, MC Mozer, T Kipf, S van Steenkiste Causal Representation Learning Workshop at NeurIPS 2023, 2023 | 2 | 2023 |
Sungjin AhnAssociate Professor, KAISTVerified email at kaist.ac.kr
