关注
Ruihan Yang
标题
引用次数
引用次数
年份
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
532019
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
332020
Hierarchical autoregressive modeling for neural video compression
R Yang, Y Yang, J Marino, S Mandt
arXiv preprint arXiv:2010.10258, 2020
272020
Diffusion probabilistic modeling for video generation
R Yang, P Srivastava, S Mandt
arXiv preprint arXiv:2203.09481, 2022
222022
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
162022
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
152021
Inspecting and interacting with meaningful music representations using VAE
R Yang, T Chen, Y Zhang, G Xia
arXiv preprint arXiv:1904.08842, 2019
112019
Insights from generative modeling for neural video compression
R Yang, Y Yang, J Marino, S Mandt
arXiv preprint arXiv:2107.13136, 2021
42021
Lossy image compression with conditional diffusion models
R Yang, S Mandt
arXiv preprint arXiv:2209.06950, 2022
32022
SC2: Supervised compression for split computing
Y Matsubara, R Yang, M Levorato, S Mandt
arXiv preprint arXiv:2203.08875, 2022
32022
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
32019
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
22020
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
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