| Diffusion probabilistic modeling for video generation R Yang, P Srivastava, S Mandt Entropy 25 (10), 1469, 2023 | 182 | 2023 |
| Deep music analogy via latent representation disentanglement R Yang, D Wang, Z Wang, T Chen, J Jiang, G Xia International Society for Music Information Retrieval (ISMIR) 2019, 2019 | 77 | 2019 |
| Pianotree vae: Structured representation learning for polyphonic music Z Wang, Y Zhang, Y Zhang, J Jiang, R Yang, J Zhao, G Xia International Society for Music Information Retrieval (ISMIR) 2020, 2020 | 57 | 2020 |
| Supervised compression for resource-constrained edge computing systems Y Matsubara, R Yang, M Levorato, S Mandt Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 55 | 2022 |
| Hierarchical autoregressive modeling for neural video compression R Yang, Y Yang, J Marino, S Mandt International Conference on Learning Representations (ICLR) 2021, 2020 | 44 | 2020 |
| Lossy image compression with conditional diffusion models R Yang, S Mandt Advances in Neural Information Processing Systems 36, 2023 | 41 | 2023 |
| A large modulation of electron-phonon coupling and an emergent superconducting dome in doped strong ferroelectrics J Ma, R Yang, H Chen Nature communications 12 (1), 2314, 2021 | 37 | 2021 |
| SC2 Benchmark: Supervised compression for split computing Y Matsubara, R Yang, M Levorato, S Mandt Transactions on Machine Learning Research, 2022 | 17* | 2022 |
| Inspecting and interacting with meaningful music representations using VAE R Yang, T Chen, Y Zhang, G Xia International Conference on New Interfaces for Musical Expression (NIME) 2019, 2019 | 16 | 2019 |
| Insights from generative modeling for neural video compression R Yang, Y Yang, J Marino, S Mandt IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (8), 9908-9921, 2023 | 12 | 2023 |
| The complex non-collinear magnetic orderings in Ba2YOsO6: A new approach to tuning spin-lattice interactions and controlling magnetic orderings in frustrated complex oxides YW Fang, R Yang, H Chen Journal of Physics: Condensed Matter 31 (44), 445803, 2019 | 6 | 2019 |
| Deep generative video compression with temporal autoregressive transforms R Yang, Y Yang, J Marino, Y Yang, S Mandt Proc. ICML Workshop Invertible Neural Netw. Normalizing Flows, Explicit …, 2020 | 3 | 2020 |
| Fast Samplers for Inverse Problems in Iterative Refinement Models K Pandey, R Yang, S Mandt arXiv preprint arXiv:2405.17673, 2024 | | 2024 |
| Probabilistic Precipitation Downscaling with Optical Flow-Guided Diffusion P Srivastava, R Yang, G Kerrigan, G Dresdner, J McGibbon, C Bretherton, ... arXiv preprint arXiv:2312.06071, 2023 | | 2023 |
| CMMD: Contrastive Multi-Modal Diffusion for Video-Audio Conditional Modeling R Yang, H Gamper, S Braun arXiv preprint arXiv:2312.05412, 2023 | | 2023 |
| SCALE SPACE FLOW WITH AUTOREGRESSIVE PRIORS R Yang, Y Yang, J Marino, S Mandt Neural Compression: From Information Theory to Applications--Workshop@ ICLR 2021, 0 | | |
| Generative Video Compression as Hierarchical Variational Inference R Yang, Y Yang, J Marino, S Mandt Third Symposium on Advances in Approximate Bayesian Inference, 0 | | |
Stephan MandtAssociate Professor, University of California, Irvine在 uci.edu 的电子邮件经过验证
