17 citations · 26 across the 9 of their papers we have counts for
3 papers · 1 filter
Learning Sparse Fixed-Structure Gaussian Bayesian Networks
Arnab Bhattacharyya, Davin Choo, Rishikesh Gajjala +2
Gaussian Bayesian networks (a.k.a. linear Gaussian structural equation models) are widely used to model causal interactions among continuous variables. In this work, we study the p…
Identifiability of AMP chain graph models
Yuhao Wang, Arnab Bhattacharyya
We study identifiability of Andersson-Madigan-Perlman (AMP) chain graph models, which are a common generalization of linear structural equation models and Gaussian graphical models…
Direction-Aggregated Attack for Transferable Adversarial Examples
Tianjin Huang, Vlado Menkovski, Yulong Pei +2
Deep neural networks are vulnerable to adversarial examples that are crafted by imposing imperceptible changes to the inputs. However, these adversarial examples are most successfu…