| Multi-stage cable routing through hierarchical imitation learning J Luo, C Xu, X Geng, G Feng, K Fang, L Tan, S Schaal, S Levine IEEE Transactions on Robotics, 2024 | 10 | 2024 |
| Action-quantized offline reinforcement learning for robotic skill learning J Luo, P Dong, J Wu, A Kumar, X Geng, S Levine Conference on Robot Learning, 1348-1361, 2023 | 7 | 2023 |
| Sequential modeling enables scalable learning for large vision models Y Bai, X Geng, K Mangalam, A Bar, A Yuille, T Darrell, J Malik, AA Efros arXiv preprint arXiv:2312.00785, 2023 | 31 | 2023 |
| Latent Conservative Objective Models for Data-Driven Crystal Structure Prediction H Qi, X Geng, S Rando, I Ohama, A Kumar, S Levine arXiv preprint arXiv:2310.10056, 2023 | 1 | 2023 |
| The False Promise of Imitating Proprietary Language Models A Gudibande, E Wallace, CV Snell, X Geng, H Liu, P Abbeel, S Levine, ... The Twelfth International Conference on Learning Representations, 2023 | | 2023 |
| Latent conservative objective models for offline data-driven crystal structure prediction H Qi, S Rando, X Geng, I Ohama, A Kumar, S Levine | 1 | 2023 |
| The false promise of imitating proprietary llms A Gudibande, E Wallace, C Snell, X Geng, H Liu, P Abbeel, S Levine, ... arXiv preprint arXiv:2305.15717, 2023 | 118 | 2023 |
| Koala: A dialogue model for academic research X Geng, A Gudibande, H Liu, E Wallace, P Abbeel, S Levine, D Song Blog post, April 1, 6, 2023 | 147 | 2023 |
| Pretraining strategies for effective promoter-driven gene expression prediction AJ Reddy, MH Herschl, S Kolli, AX Lu, X Geng, A Kumar, PD Hsu, ... bioRxiv, 2023 | 2 | 2023 |
| Offline Data-Driven Optimization: Benchmarks, Algorithms and Applications X Geng University of California, Berkeley, 2023 | | 2023 |
| Offline q-learning on diverse multi-task data both scales and generalizes A Kumar, R Agarwal, X Geng, G Tucker, S Levine arXiv preprint arXiv:2211.15144, 2022 | 26 | 2022 |
| Towards Better Few-Shot and Finetuning Performance with Forgetful Causal Language Models H Liu, X Geng, L Lee, I Mordatch, S Levine, S Narang, P Abbeel arXiv preprint arXiv:2210.13432, 2022 | 2 | 2022 |
| Connecting representation and generation via masked vision-language transformer X Geng, L Lee, I Mordatch, S Levine, P Abbeel, H Liu | | 2022 |
| Forgetful causal masking makes causal language models better zero-shot learners H Liu, X Geng, L Lee, I Mordatch, S Levine, S Narang, P Abbeel | 2 | 2022 |
| Design-bench: Benchmarks for data-driven offline model-based optimization B Trabucco, X Geng, A Kumar, S Levine International Conference on Machine Learning, 21658-21676, 2022 | 55 | 2022 |
| Effective offline rl needs going beyond pessimism: Representations and distributional shift X Geng, K Li, A Gupta, A Kumar, S Levine Decision Awareness in Reinforcement Learning Workshop at ICML 2022, 2022 | 3 | 2022 |
| Multimodal masked autoencoders learn transferable representations X Geng, H Liu, L Lee, D Schuurmans, S Levine, P Abbeel arXiv preprint arXiv:2205.14204, 2022 | 79 | 2022 |
| Data-driven optimization for protein design: workflows, algorithms and metrics S Kolli, AX Lu, X Geng, A Kumar, S Levine ICLR2022 Machine Learning for Drug Discovery, 2022 | 5 | 2022 |
| Conservative objective models for effective offline model-based optimization B Trabucco, A Kumar, X Geng, S Levine International Conference on Machine Learning, 10358-10368, 2021 | 74 | 2021 |
| Variable-shot adaptation for online meta-learning T Yu, X Geng, C Finn, S Levine arXiv preprint arXiv:2012.07769, 2020 | 7 | 2020 |
