| Deep music analogy via latent representation disentanglement R Yang, D Wang, Z Wang, T Chen, J Jiang, G Xia arXiv preprint arXiv:1906.03626, 2019 | 57 | 2019 |
| Pianotree vae: Structured representation learning for polyphonic music Z Wang, Y Zhang, Y Zhang, J Jiang, R Yang, J Zhao, G Xia arXiv preprint arXiv:2008.07118, 2020 | 36 | 2020 |
| Hierarchical autoregressive modeling for neural video compression R Yang, Y Yang, J Marino, S Mandt arXiv preprint arXiv:2010.10258, 2020 | 29 | 2020 |
| Diffusion probabilistic modeling for video generation R Yang, P Srivastava, S Mandt arXiv preprint arXiv:2203.09481, 2022 | 25 | 2022 |
| 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 | 19 | 2022 |
| 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 | 19 | 2021 |
| Inspecting and interacting with meaningful music representations using VAE R Yang, T Chen, Y Zhang, G Xia arXiv preprint arXiv:1904.08842, 2019 | 11 | 2019 |
| Lossy image compression with conditional diffusion models R Yang, S Mandt arXiv preprint arXiv:2209.06950, 2022 | 5 | 2022 |
| Insights from generative modeling for neural video compression R Yang, Y Yang, J Marino, S Mandt arXiv preprint arXiv:2107.13136, 2021 | 4 | 2021 |
| 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 | 4 | 2019 |
| SC2: Supervised compression for split computing Y Matsubara, R Yang, M Levorato, S Mandt arXiv preprint arXiv:2203.08875, 2022 | 3 | 2022 |
| Deep generative video compression with temporal autoregressive transforms R Yang, Y Yang, J Marino, Y Yang, S Mandt ICML 2020 Workshop on Invertible Neural Networks, Normalizing Flows, and …, 2020 | 2 | 2020 |
| Supervised Compression for Resource-Constrained Edge Computing Systems-Supplementary Material Y Matsubara, R Yang, M Levorato, S Mandt | | |
| 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, IrvineVerified email at uci.edu
