Congratulations! Three students had successful preliminary exams for their Ph.D.!

Congratulations to Kasey, Andrew, and Arun for the successful preliminary exams for their Ph.D.! Kasey Ackerman The preliminary proposal title: L1 Adaptive Control for Nonlinear Reference Systems with Unmatched Uncertainties Arun Lakshmanan The preliminary proposal title: Safe Planning and Control for Uncertain Nonlinear Systems via L1-Adaptive Control and Contraction Analysis Andrew Patterson The preliminary proposal […]

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We presented our papers at CDC 2020!

Please check the following three papers presented at CDC 2020. A Safety Constrained Control Framework for UAVs in GPS Denied Environment Wenbin Wan, Hunmin Kim, Naira Hovakimyan, Lui Sha, and Petros G. Voulgaris Presentation Slides  |  Presentation Video  |  Paper Abstract: Unmanned aerial vehicles (UAVs) suffer from sensor drifts in GPS denied environments, which can lead to potentially […]

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Our paper “f-Divergence Variational Inference” got accepted by NeurIPS 2020!

Congratulations! Our paper “f-Divergence Variational Inference” got accepted by NeurIPS 2020! Link: Paper (Arxiv) |  Video f-Divergence Variational Inference Neng Wan*, Dapeng Li*, and Naira Hovakimyan Abstract: This paper introduces the f-divergence variational inference (f-VI) that generalizes variational inference to all f-divergences. Initiated from minimizing a crafty surrogate f-divergence that shares the statistical consistency with […]

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Our research work on crop prediction using CNN was reported on today’s “The Batch” Newsletter!

The research work of applying machine learning techniques to crop yield prediction in our group attracted researchers’ attention and recognition from AI community and was reported on today’s Batch newsletter. As Professor Andrew Ng mentioned as sidenote of the news, application of machine learning in agriculture is promising and can help even every stage of […]

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