8 citations · 38 across the 44 of their papers we have counts for
8 papers · 1 filter
Improving Fairness and Privacy in Selection Problems
Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan +1
Supervised learning models have been increasingly used for making decisions about individuals in applications such as hiring, lending, and college admission. These models may inher…
Graph Neural Networks for Distributed Linear-Quadratic Control
Fernando Gama, Somayeh Sojoudi
The linear-quadratic controller is one of the fundamental problems in control theory. The optimal solution is a linear controller that requires access to the state of the entire sy…
A Sequential Framework Towards an Exact SDP Verification of Neural Networks
Ziye Ma, Somayeh Sojoudi
Although neural networks have been applied to several systems in recent years, they still cannot be used in safety-critical systems due to the lack of efficient techniques to certi…
Certifying Neural Network Robustness to Random Input Noise from Samples
Brendon G. Anderson, Somayeh Sojoudi
Methods to certify the robustness of neural networks in the presence of input uncertainty are vital in safety-critical settings. Most certification methods in the literature are de…
Data-Driven Certification of Neural Networks with Random Input Noise
Brendon G. Anderson, Somayeh Sojoudi
Methods to certify the robustness of neural networks in the presence of input uncertainty are vital in safety-critical settings. Most certification methods in the literature are de…
Implicit Graph Neural Networks
Fangda Gu, Heng Chang, Wenwu Zhu +2
Graph Neural Networks (GNNs) are widely used deep learning models that learn meaningful representations from graph-structured data. Due to the finite nature of the underlying recur…