Unsupervised out-of-distribution detection with diffusion inpainting Z Liu, JP Zhou, Y Wang, KQ Weinberger International Conference on Machine Learning, 22528-22538, 2023 | 46 | 2023 |
Reward finetuning for faster and more accurate unsupervised object discovery K Luo, Z Liu, X Chen, Y You, S Benaim, CP Phoo, M Campbell, W Sun, ... Advances in Neural Information Processing Systems 36, 13250-13266, 2023 | 9 | 2023 |
Correction with Backtracking Reduces Hallucination in Summarization Z Liu, C Wan, V Kishore, JP Zhou, M Chen, KQ Weinberger arXiv preprint arXiv:2310.16176, 2023 | 3 | 2023 |
Diffubox: Refining 3d object detection with point diffusion X Chen, Z Liu, K Luo, S Datta, A Polavaram, Y Wang, Y You, B Li, ... Advances in Neural Information Processing Systems 37, 103681-103705, 2025 | 2 | 2025 |
Zero-shot Object-Level OOD Detection with Context-Aware Inpainting QH Nguyen, JP Zhou, Z Liu, KH Bui, KQ Weinberger, DD Le arXiv preprint arXiv:2402.03292, 2024 | 1 | 2024 |
Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X Collaboration KZ Luo, MQ Dao, Z Liu, M Campbell, WL Chao, KQ Weinberger, E Malis, ... arXiv preprint arXiv:2502.14156, 2025 | | 2025 |
Leveraging diffusion models for unsupervised out-of-distribution detection on image manifold Z Liu, JP Zhou, KQ Weinberger Frontiers in Artificial Intelligence 7, 1255566, 2024 | | 2024 |