Publications

Kalvik Jakkala, Srinivas Akella (2024). Multi-Robot Informative Path Planning from Regression with Sparse Gaussian Processes. In IEEE ICRA 2024.

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Ekkasit Pinyoanuntapong, Ayman Ali, Kalvik Jakkala, Pu Wang, Minwoo Lee, Qucheng Peng, Chen Chen, Zhi Sun (2023). GaitSADA: Self-Aligned Domain Adaptation for mmWave Gait Recognition. In IEEE MASS 2023.

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Kalvik Jakkala, Srinivas Akella (2023). Efficient Sensor Placement from Regression with Sparse Gaussian Processes in Continuous and Discrete Spaces. In CoRR 2023.

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Kalvik Jakkala, Srinivas Akella (2022). Bayesian Sensor Placement for Multi-source Localization of Viruses in Wastewater Networks. In CoRR 2022.

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Kalvik Jakkala, Srinivas Akella (2022). Probabilistic Gas Leak Rate Estimation using Submodular Function Maximization with Routing Constraints. In IEEE RA-L 2022.

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Kalvik Jakkala (2021). Deep Gaussian Processes: A Survey. In CoRR 2021.

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Prabhu Janakaraj, Kalvik Jakkala, Arupjyoti Bhuyan, Zhi Sun, Pu Wang, Minwoo Lee (2019). STAR: Simultaneous Tracking and Recognition through Millimeter Waves and Deep Learning. In WMNC 2019.

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Kalvik Jakkala, Arupjyoti Bhuyan, Zhi Sun, Pu Wang, Zhuo Cheng (2019). Deep CSI Learning for Gait Biometric Sensing and Recognition. In BalkanCom 2019.

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Akarsh Pokkunuru, Kalvik Jakkala, Arupjyoti Bhuyan, Pu Wang, Zhi Sun (2018). NeuralWave: Gait-Based User Identification Through Commodity WiFi and Deep Learning. In IEEE IECON 2018.

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