4 citations · 11 across the 10 of their papers we have counts for
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2 papers · 1 filter
cs.LG2020★ 2 cited
End-To-End Semi-supervised Learning for Differentiable Particle Filters
Hao Wen, Xiongjie Chen, Georgios Papagiannis +2
Recent advances in incorporating neural networks into particle filters provide the desired flexibility to apply particle filters in large-scale real-world applications. The dynamic…
cs.LG2020★ 4 cited
Augmented Sliced Wasserstein Distances
Xiongjie Chen, Yongxin Yang, Yunpeng Li
While theoretically appealing, the application of the Wasserstein distance to large-scale machine learning problems has been hampered by its prohibitive computational cost. The sli…