| Learning non-convergent non-persistent short-run mcmc toward energy-based model E Nijkamp, M Hill, SC Zhu, YN Wu Advances in Neural Information Processing Systems 32, 2019 | 259 | 2019 |
| On the anatomy of mcmc-based maximum likelihood learning of energy-based models E Nijkamp, M Hill, T Han, SC Zhu, YN Wu Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5272-5280, 2020 | 178 | 2020 |
| Stochastic security: Adversarial defense using long-run dynamics of energy-based models M Hill, J Mitchell, SC Zhu arXiv preprint arXiv:2005.13525, 2020 | 75 | 2020 |
| Divergence triangle for joint training of generator model, energy-based model, and inferential model T Han, E Nijkamp, X Fang, M Hill, SC Zhu, YN Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 72 | 2019 |
| Building a telescope to look into high-dimensional image spaces M Hill, E Nijkamp, SC Zhu Quarterly of Applied Mathematics 77 (2), 269-321, 2019 | 14 | 2019 |
| Learning probabilistic models from generator latent spaces with hat ebm M Hill, E Nijkamp, J Mitchell, B Pang, SC Zhu Advances in Neural Information Processing Systems 35, 928-940, 2022 | 10 | 2022 |
| Towards open domain text-driven synthesis of multi-person motions M Shan, L Dong, Y Han, Y Yao, T Liu, I Nwogu, GJ Qi, M Hill arXiv preprint arXiv:2405.18483, 2024 | 4 | 2024 |
| Self-joint supervised learning N Kardan, M Shah, M Hill International Conference on Learning Representations, 2021 | 4 | 2021 |
| Divergence triangle for joint training of generator model, energy-based model, and inference model T Han, E Nijkamp, X Fang, M Hill, SC Zhu, YN Wu arXiv preprint arXiv:1812.10907, 2018 | 4 | 2018 |
| OmniMotionGPT: Animal Motion Generation with Limited Data Z Yang, M Zhou, M Shan, B Wen, Z Xuan, M Hill, J Bai, GJ Qi, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 3 | 2024 |
| EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling M Hill, J Mitchell, C Chen, Y Du, M Shah, SC Zhu arXiv preprint arXiv:2205.12243, 2022 | | 2022 |
| Tackling Unconditional Generation for Highly Multimodal Distributions with Hat Diffusion EBM M Hill, Z Xuan, Y Han, GJ Qi | | |
