7 citations · 19 across the 10 of their papers we have counts for
Showing 2020Show all
3 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★ 3 cited
Imitation Learning with Sinkhorn Distances
Georgios Papagiannis, Yunpeng Li
Imitation learning algorithms have been interpreted as variants of divergence minimization problems. The ability to compare occupancy measures between experts and learners is cruci…
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…