NeurIPS Machine Learning for Autonomous Driving Workshop, 2022 Titas Chakraborty, Akshay Bhagat, Henggang Cui Improving Motion Forecasting for Autonomous Driving with the Cycle Consistency Loss High-performacne parameter server for iterative convergent machine learning GeePS with automatic tuning on learning rate, momentum, batch size, data staleness and more GPU-specialized parameter server for GPU machine learning My research area was distributed large-scale machine learning systems.Įxploiting Application Characteristics for Efficient System Support for Data-Parallel Machine Learning degree from Carnegie Mellon University, advised by Our team is responsible for developing machine learning models to predict the behavior of the other road users for the self-driving vehicle. I am a Principal Engineer and Prediction Team Lead at Motional.
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