Kourosh Hakhamaneshi

Orcid: 0000-0001-7922-2666

According to our database1, Kourosh Hakhamaneshi authored at least 10 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Pretraining Graph Neural Networks for Few-Shot Analog Circuit Modeling and Design.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., July, 2023

2022
Pre-training Agents for Design Optimization and Control
PhD thesis, 2022

Hands-on Reinforcement Learning for Recommender Systems - From Bandits to SlateQ to Offline RL with Ray RLlib.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Hierarchical Few-Shot Imitation with Skill Transition Models.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
JUMBO: Scalable Multi-task Bayesian Optimization using Offline Data.
CoRR, 2021

Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
GACEM: Generalized Autoregressive Cross Entropy Method for Multi-Modal Black Box Constraint Satisfaction.
CoRR, 2020

AutoCkt: Deep Reinforcement Learning of Analog Circuit Designs.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019
BagNet: Berkeley Analog Generator with Layout Optimizer Boosted with Deep Neural Networks.
Proceedings of the International Conference on Computer-Aided Design, 2019

Analog Circuit Generator based on Deep Neural Network enhanced Combinatorial Optimization.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019


  Loading...