18 citations · 45 across the 12 of their papers we have counts for
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cs.LG2020★ 18 cited
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks
Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen
Wasserstein Barycenter is a principled approach to represent the weighted mean of a given set of probability distributions, utilizing the geometry induced by optimal transport. In…
math.OC2020★ 2 cited
Maximal power output of a stochastic thermodynamic engine
Rui Fu, Amirhossein Taghvaei, Yongxin Chen +1
Classical thermodynamics aimed to quantify the efficiency of thermodynamic engines by bounding the maximal amount of mechanical energy produced compared to the amount of heat requi…