Search Results for author: Seunggeun Kim

Found 2 papers, 1 papers with code

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling

no code implementations • 25 Nov 2024 • Youngmin Oh, Jinje Park, Seunggeun Kim, Taejin Paik, David Pan, Bosun Hwang

To the best of our knowledge, M3 is the first method for multi-circuit optimization by leveraging both the Mamba architecture and a MBRL with effective scheduling.

Mamba Reinforcement Learning (RL) +1

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LLM-Enhanced Bayesian Optimization for Efficient Analog Layout Constraint Generation

1 code implementation • 7 Jun 2024 • Guojin Chen, Keren Zhu, Seunggeun Kim, Hanqing Zhu, Yao Lai, Bei Yu, David Z. Pan

Analog layout synthesis faces significant challenges due to its dependence on manual processes, considerable time requirements, and performance instability.

Bayesian Optimization Few-Shot Learning

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