6 citations · 16 across the 7 of their papers we have counts for
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cs.LG2022★ 2 cited
An Information-Theoretic Approach for Estimating Scenario Generalization in Crowd Motion Prediction
Gang Qiao, Kaidong Hu, Seonghyeon Moon +4
Learning-based approaches to modeling crowd motion have become increasingly successful but require training and evaluation on large datasets, coupled with complex model selection a…
cs.LG2015★ 6 cited
D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM
Behnam Babagholami-Mohamadabadi, Sejong Yoon, Vladimir Pavlovic
Bayesian models provide a framework for probabilistic modelling of complex datasets. However, many of such models are computationally demanding especially in the presence of large…