All Publications

Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li (2021). AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter. Proceedings of the 30th ACM International Conference on Information & Knowledge Management.
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Shaoran Li, Yan Huang, Chengzhang Li, Thomas Hou, Wenjing Lou, Brian Jalaian, Stephen Russell (2021). Achieving Real-Time Spectrum Sharing in 5G Underlay Coexistence with Channel Uncertainty. IEEE Transactions on Mobile Computing.
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Meet P Vadera, Adam D Cobb, Brian Jalaian, Benjamin M Marlin (2020). Ursabench: Comprehensive benchmarking of approximate bayesian inference methods for deep neural networks. arXiv preprint arXiv:2007.04466.
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Benjamin M Marlin, Tarek Abdelzaher, Gabriela Ciocarlie, Adam D Cobb, Mark Dennison, Brian Jalaian, Lance Kaplan, Tiffany Raber, Adrienne Raglin, Piyush K Sharma, Others (2020). On uncertainty and robustness in large-scale intelligent data fusion systems. 2020 IEEE Second International Conference on Cognitive Machine Intelligence (CogMI).
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Meet Vadera, Brian Jalaian, Benjamin Marlin (2020). Generalized bayesian posterior expectation distillation for deep neural networks. Conference on Uncertainty in Artificial Intelligence.
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Vignesh Sridharan, Mehul Motani, Brian Jalaian, Niranjan Suri (2020). Exploring performance trade-offs in tactical edge networks. IEEE Communications Magazine.
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Stephen Russell, Ira S Moskowitz, Brian Jalaian (2020). Context: Separating the forest and the trees—Wavelet contextual conditioning for AI. Human-Machine Shared Contexts.
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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.
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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.
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Satya Narayan Shukla, Meet P Vadera, Brian Jalaian, Benjamin M Marlin (2020). Adversarial Distillation of Bayesian Neural Networks.
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