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cs.AR2024
RoSE-Opt: Robust and Efficient Analog Circuit Parameter Optimization with Knowledge-infused Reinforcement Learning
Weidong Cao, Jian Gao, Tianrui Ma +3
This paper proposes a learning framework, RoSE-Opt, to achieve robust and efficient analog circuit parameter optimization. RoSE-Opt has two important features. First, it incorporat…
cs.AR2024
BlissCam: Boosting Eye Tracking Efficiency with Learned In-Sensor Sparse Sampling
Yu Feng, Tianrui Ma, Yuhao Zhu +1
Eye tracking is becoming an increasingly important task domain in emerging computing platforms such as Augmented/Virtual Reality (AR/VR). Today's eye tracking system suffers from l…