| Sliced Wasserstein variational inference M Yi, S Liu Asian Conference on Machine Learning, 1213-1228, 2023 | 18 | 2023 |
| MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows M Yi, Z Zhu, S Liu International Conference on Machine Learning, 2023, 2023 | 6* | 2023 |
| Posterior ratio estimation of latent variables S Liu, Y Zhang, M Yi, M Kolar arXiv preprint arXiv:2002.06410, 2020 | 2 | 2020 |
| Bridging the Gap Between Variational Inference and Wasserstein Gradient Flows M Yi, S Liu arXiv preprint arXiv:2310.20090, 2023 | 1 | 2023 |
| Variational Gradient Descent using Local Linear Models S Liu, J Simons, M Yi, M Beaumont arXiv preprint arXiv:2305.15577, 2023 | | 2023 |
| MonoFlow: A Unified Generative Modeling Framework for GAN Variants M Yi, Z Zhu, S Liu | | 2022 |
