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Polydiffuse: Polygonal shape reconstruction via guided set diffusion models J Chen, R Deng, Y Furukawa Advances in Neural Information Processing Systems 36, 2024 | 20 | 2024 |
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Systems and methods for modeling continuous stochastic processes with dynamic normalizing flows D Ruizhi, B Chang, MA Brubaker, GP Mori, ASM Lehrmann US Patent App. 17/170,416, 2021 | 4 | 2021 |
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Learning to forecast videos of human activity with multi-granularity models and adaptive rendering M Zhai, J Chen, R Deng, L Chen, L Zhu, G Mori arXiv preprint arXiv:1712.01955, 2017 | 3 | 2017 |
Conditional diffusion models as self-supervised learning backbone for irregular time series H Shirzad, R Deng, H Zhao, F Tung, AI Borealis ICLR 2024 Workshop on Learning from Time Series For Health, 2024 | 2 | 2024 |
Adaptive appearance rendering M Zhai, R Deng, J Chen, L Chen, Z Deng, G Mori arXiv preprint arXiv:2104.11931, 2021 | 2 | 2021 |
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Pretext Training Algorithms for Event Sequence Data Y Wang, H Zhao, R Deng, F Tung, G Mori arXiv preprint arXiv:2402.10392, 2024 | | 2024 |
System and method for continuous dynamics model from irregular time-series data D Ruizhi, MA Brubaker, GP Mori, ASM Lehrmann US Patent App. 17/749,678, 2022 | | 2022 |
Continuous-time Particle Filtering for Latent Stochastic Differential Equations R Deng, G Mori, AM Lehrmann arXiv preprint arXiv:2209.00173, 2022 | | 2022 |
Self-Supervised Pretext Tasks for Event Sequence Data from Detecting Misalignment Y Wang, H Zhao, R Deng, F Tung, G Mori NeurIPS 2024 Workshop: Self-Supervised Learning-Theory and Practice, 0 | | |
Supplementary Document: PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion Models J Chen, R Deng, Y Furukawa | | |
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows Supplementary Materials R Deng, B Chang, MA Brubaker, G Mori, A Lehrmann | | |