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Ruihan Yang
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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
412019
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
182020
Hierarchical autoregressive modeling for neural video compression
R Yang, Y Yang, J Marino, S Mandt
arXiv preprint arXiv:2010.10258, 2020
152020
Inspecting and interacting with meaningful music representations using vae
R Yang, T Chen, Y Zhang, G Xia
arXiv preprint arXiv:1904.08842, 2019
92019
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
52022
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), 1-9, 2021
52021
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
Diffusion probabilistic modeling for video generation
R Yang, P Srivastava, S Mandt
arXiv preprint arXiv:2203.09481, 2022
22022
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
SC2: Supervised Compression for Split Computing
Y Matsubara, R Yang, M Levorato, S Mandt
arXiv preprint arXiv:2203.08875, 2022
12022
Insights from Generative Modeling for Neural Video Compression
R Yang, Y Yang, J Marino, S Mandt
arXiv preprint arXiv:2107.13136, 2021
12021
SCALE SPACE FLOW WITH AUTOREGRESSIVE PRIORS
R Yang, Y Yang, J Marino, S Mandt
Neural Compression: From Information Theory to Applications--Workshop@ ICLR 2021, 2021
2021
Generative Video Compression as Hierarchical Variational Inference
R Yang, Y Yang, J Marino, S Mandt
Third Symposium on Advances in Approximate Bayesian Inference, 2020
2020
SC2: Supervised Compression for Split Computing Download PDF
Y Matsubara, R Yang, M Levorato, S Mandt
Supervised Compression for Resource-Constrained Edge Computing Systems-Supplementary Material
Y Matsubara, R Yang, M Levorato, S Mandt
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