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ResearchMy research aim is to combine systems engineering and modern machine learning to build efficient Robotic and ML systems. Currently, I'm working on generating synthetic timeseries data using diffiuson models. Specifically, I'm aiming to improve the zero-shot generalization of diffusion models for synthetic timeseries data using contrastively-learned embeddings of timeseries data. In the past, I've worked on networked robotic systems research, where I explored efficient deployment of robotic systems through systematic benchmarking and profiling. Our work on this thread, PEERNet, was accepted at IROS 2024, where I presented the project in an oral-pitch and poster session. Aditya Narayanan, Pranav Kasibhatla, Minkyu Choi, Po-han Li, Ruihan Zhao, Sandeep Chinchali IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024 Po-han Li, Oyku Selin Toprak, Aditya Narayanan, Ufuk Topcu, Sandeep Chinchali Under review, 2024 |
This website is based on Jon Barron's source code.
His website can be found here.
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