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Pretraining Graph Neural Networks for few-shot Analog Circuit Modeling and Design


Apr 01, 2022
Kourosh Hakhamaneshi, Marcel Nassar, Mariano Phielipp, Pieter Abbeel, Vladimir Stojanović


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Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback


Aug 11, 2021
Xiaofei Wang, Kimin Lee, Kourosh Hakhamaneshi, Pieter Abbeel, Michael Laskin

* 8 pages,6 figures. for associated code and video, see http://sites.google.com/view/skill-pref 

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Hierarchical Few-Shot Imitation with Skill Transition Models


Jul 19, 2021
Kourosh Hakhamaneshi, Ruihan Zhao, Albert Zhan, Pieter Abbeel, Michael Laskin


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JUMBO: Scalable Multi-task Bayesian Optimization using Offline Data


Jun 02, 2021
Kourosh Hakhamaneshi, Pieter Abbeel, Vladimir Stojanovic, Aditya Grover


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GACEM: Generalized Autoregressive Cross Entropy Method for Multi-Modal Black Box Constraint Satisfaction


Feb 17, 2020
Kourosh Hakhamaneshi, Keertana Settaluri, Pieter Abbeel, Vladimir Stojanovic


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BagNet: Berkeley Analog Generator with Layout Optimizer Boosted with Deep Neural Networks


Jul 23, 2019
Kourosh Hakhamaneshi, Nick Werblun, Pieter Abbeel, Vladimir Stojanovic

* Accepted on ICCAD 2019 Conference 

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