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 | 211 | 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 | 64 | 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 | 58 | 2020 |
Transdreamer: Reinforcement learning with transformer world models C Chen, YF Wu, J Yoon, S Ahn arXiv preprint arXiv:2202.09481, 2022 | 52 | 2022 |
Generative video transformer: Can objects be the words? YF Wu, J Yoon, S Ahn International Conference on Machine Learning, 11307-11318, 2021 | 27 | 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 | 12 | 2023 |
Structured World Modeling via Semantic Vector Quantization YF Wu, M Lee, S Ahn arXiv preprint arXiv:2402.01203, 2024 | | 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 | | 2023 |