Learning to manipulate deformable objects without demonstrations Y Wu, W Yan, T Kurutach, L Pinto, P Abbeel arXiv preprint arXiv:1910.13439, 2019 | 141 | 2019 |
Learning predictive representations for deformable objects using contrastive estimation W Yan, A Vangipuram, P Abbeel, L Pinto Conference on Robot Learning, 564-574, 2021 | 135 | 2021 |
Videogpt: Video generation using vq-vae and transformers W Yan, Y Zhang, P Abbeel, A Srinivas arXiv preprint arXiv:2104.10157, 2021 | 116 | 2021 |
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation. 2020 W Yan, A Vangipuram, P Abbeel, L Pinto URL http://arxiv. org/abs, 2003 | 4 | 2003 |
Quantifying Uncertainty in Foundation Models via Ensembles M Sun, W Yan, P Abbeel, I Mordatch NeurIPS 2022 Workshop on Robustness in Sequence Modeling, 0 | 3 | |
Patch-based Object-centric Transformers for Efficient Video Generation W Yan, R Okumura, S James, P Abbeel arXiv preprint arXiv:2206.04003, 2022 | 2 | 2022 |
VideoGen: generative modeling of videos using VQ-VAE and transformers Y Zhang, W Yan, P Abbeel, A Srinivas | 2 | 2020 |
Temporally Consistent Video Transformer for Long-Term Video Prediction W Yan, D Hafner, S James, P Abbeel arXiv preprint arXiv:2210.02396, 2022 | 1 | 2022 |
Video Prediction Models as Rewards for Reinforcement Learning A Escontrela, A Adeniji, W Yan, A Jain, XB Peng, K Goldberg, Y Lee, ... arXiv preprint arXiv:2305.14343, 2023 | | 2023 |
Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment H Liu, W Yan, P Abbeel arXiv preprint arXiv:2302.00902, 2023 | | 2023 |
Natural Image Manipulation for Autoregressive Models Using Fisher Scores W Yan, J Ho, P Abbeel arXiv preprint arXiv:1912.05015, 2019 | | 2019 |
Yilin Wu Y Wu, W Yan, T Kurutach, L Pinto, P Abbeel University of California, Berkeley, 2019 | | 2019 |