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2020 – today
- 2025
[j1]Xiongjie Chen
, Yunpeng Li:
Normalizing Flow-Based Differentiable Particle Filters. IEEE Trans. Signal Process. 73: 493-507 (2025)- 2024
- [c9]Jiaxi Li, John-Joseph Brady, Xiongjie Chen, Yunpeng Li:
Revisiting semi-supervised training objectives for differentiable particle filters. SAM 2024: 1-5 - [i10]Xiongjie Chen, Yunpeng Li:
Normalising Flow-based Differentiable Particle Filters. CoRR abs/2403.01499 (2024) - [i9]Jiaxi Li, John-Joseph Brady, Xiongjie Chen, Yunpeng Li:
Revisiting semi-supervised training objectives for differentiable particle filters. CoRR abs/2405.01251 (2024) - 2023
- [c8]Jiaxi Li, Xiongjie Chen, Yunpeng Li:
Learning Differentiable Particle Filter on the Fly. ACSSC 2023: 1355-1361 - [c7]Xiongjie Chen, Yunpeng Li, Yongxin Yang:
Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection. ICASSP 2023: 1-5 - [c6]Wenhan Li, Xiongjie Chen, Wenwu Wang, Víctor Elvira, Yunpeng Li:
Differentiable Bootstrap Particle Filters for Regime-Switching Models. SSP 2023: 200-204 - [i8]Xiongjie Chen, Yunpeng Li:
An overview of differentiable particle filters for data-adaptive sequential Bayesian inference. CoRR abs/2302.09639 (2023) - [i7]Wenhan Li, Xiongjie Chen, Wenwu Wang, Víctor Elvira, Yunpeng Li:
Differentiable Bootstrap Particle Filters for Regime-Switching Models. CoRR abs/2302.10319 (2023) - [i6]Jiaxi Li, Xiongjie Chen, Yunpeng Li:
Learning Differentiable Particle Filter on the Fly. CoRR abs/2312.05955 (2023) - 2022
- [c5]Xiongjie Chen, Yunpeng Li:
Conditional Measurement Density Estimation in Sequential Monte Carlo via Normalizing Flow. EUSIPCO 2022: 782-786 - [c4]Xiongjie Chen, Yongxin Yang, Yunpeng Li:
Augmented Sliced Wasserstein Distances. ICLR 2022 - [i5]Xiongjie Chen, Yunpeng Li:
Conditional Measurement Density Estimation in Sequential Monte Carlo via Normalizing Flow. CoRR abs/2203.08617 (2022) - [i4]Xiongjie Chen, Yunpeng Li, Yongxin Yang:
Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection. CoRR abs/2206.12911 (2022) - 2021
- [c3]Xiongjie Chen, Hao Wen, Yunpeng Li:
Differentiable Particle Filters through Conditional Normalizing Flow. FUSION 2021: 1-6 - [c2]Hao Wen, Xiongjie Chen, Georgios Papagiannis, Conghui Hu, Yunpeng Li:
End-to-End Semi-supervised Learning for Differentiable Particle Filters. ICRA 2021: 5825-5831 - [i3]Xiongjie Chen, Hao Wen, Yunpeng Li:
Differentiable Particle Filters through Conditional Normalizing Flow. CoRR abs/2107.00488 (2021) - 2020
- [i2]Xiongjie Chen, Yongxin Yang, Yunpeng Li:
Augmented Sliced Wasserstein Distances. CoRR abs/2006.08812 (2020) - [i1]Hao Wen, Xiongjie Chen, Georgios Papagiannis, Conghui Hu, Yunpeng Li:
End-To-End Semi-supervised Learning for Differentiable Particle Filters. CoRR abs/2011.05748 (2020)
2010 – 2019
- 2018
- [c1]Xiongjie Chen, Ruiqin Guo, Wei Luo, Changhong Fu:
Visual Crowd Counting with Improved Inception-ResNet-A Module. ROBIO 2018: 112-119
Coauthor Index
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