팔로우
Ruihan Yang
제목
인용
인용
연도
Diffusion probabilistic modeling for video generation
R Yang, P Srivastava, S Mandt
Entropy 25 (10), 1469, 2023
1882023
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
792019
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
572022
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
572020
Lossy image compression with conditional diffusion models
R Yang, S Mandt
Advances in Neural Information Processing Systems 36, 2023
502023
Hierarchical autoregressive modeling for neural video compression
R Yang, Y Yang, J Marino, S Mandt
International Conference on Learning Representations (ICLR) 2021, 2020
442020
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
392021
SC2 Benchmark: Supervised compression for split computing
Y Matsubara, R Yang, M Levorato, S Mandt
Transactions on Machine Learning Research, 2022
18*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
172019
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
122023
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
62019
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
32020
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
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학술자료 1–17