Long run equilibria in social games with coordination reward. - Maya Kabkab; Richard J. La (CISS, 2012)

A new graph model with random edge values: Connectivity and diameter. - Richard J. La; Maya Kabkab (Allerton, 2013)

A New Random Graph Model with Self-Optimizing Nodes: Connectivity and Diameter. - Richard J. La; Maya Kabkab (Internet Math., 2015)

On the size of Convolutional Neural Networks and generalization performance. - Maya Kabkab; Emily M. Hand; Rama Chellappa (ICPR, 2016)

DCNNs on a Diet: Sampling Strategies for Reducing the Training Set Size. - Maya Kabkab; Azadeh Alavi; Rama Chellappa (CoRR, 2016)

The case for spatial pooling in deep convolutional sparse coding. - Maya Kabkab (ACSSC, 2017)

Task-Aware Compressed Sensing With Generative Adversarial Networks. - Maya Kabkab; Pouya Samangouei; Rama Chellappa (AAAI, 2018)

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models. - Pouya Samangouei; Maya Kabkab; Rama Chellappa (ICLR (Poster), 2018)

Learning Along the Edge of Deep Neural Networks. - Maya Kabkab (2018)

R4D: Utilizing Reference Objects for Long-Range Distance Estimation. - Yingwei Li 002; Tiffany Chen; Maya Kabkab; Ruichi Yu; Longlong Jing; Yurong You; Hang Zhao (ICLR, 2022)