All Publications

Subhodip Biswas, Adam D Cobb, Andreea Sistrunk, Naren Ramakrishnan, Brian Jalaian (2020). Better call surrogates: A hybrid evolutionary algorithm for hyperparameter optimization. arXiv preprint arXiv:2012.06453.

Meet P Vadera, Satya Narayan Shukla, Brian Jalaian, Benjamin M Marlin (2020). Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification. arXiv preprint arXiv:2002.02842.

Satya Narayan Shukla, Meet P Vadera, Brian Jalaian, Benjamin M Marlin (2020). Adversarial Distillation of Bayesian Neural Networks.

S Li, Y Huang, C Li, B Jalaian, S Russell, Y T Hou, W Lou, B MacCall (2019). A Real-Time Solution for Underlay Coexistence with Channel Uncertainty. 2019 IEEE Global Communications Conference (GLOBECOM).

S Li, Y T Hou, W Lou, B Jalaian, S Russell, B MacCall (2019). Optimal Power Control with Channel Uncertainty in Ad Hoc Networks. 2019 IEEE Military Communications Conference (MILCOM).

Leonardo Teixeira, Brian Jalaian, Bruno Ribeiro (2019). Are Graph Neural Networks Miscalibrated?.

Brian Jalaian, Ph.D. (2019). An example preprint / working paper.

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Brian Jalaian, Stephen Russell (2019). Uncertainty Quantification in Internet of Battlefield Things. Artificial Intelligence for the Internet of Everything.

Brian Jalaian, Michael Lee, Stephen Russell (2019). Uncertain context: Uncertainty quantification in machine learning. AI Magazine.

Yongce Chen, Shaoran Li, Chengzhang Li, Y Thomas Hou, Brian Jalaian (2019). To cancel or not to cancel: Exploiting interference signal strength in the eigenspace for efficient MIMO DoF utilization. IEEE INFOCOM 2019-IEEE Conference on Computer Communications.