most citedINSIGHT: Universal Neural Simulator for Analog Circuits Harnessing Autoregressive Transformers

1 citations · 1 across the 1 of their papers we have counts for

collaborators

5 papers

cs.LG2025

AnalogCoder-Pro: Unifying Analog Circuit Generation and Optimization via Multi-modal LLMs

Yao Lai, Souradip Poddar, Sungyoung Lee +5

Despite recent advances, analog front-end design still relies heavily on expert intuition and iterative simulations, which limits the potential for automation. We present AnalogCod…

cs.LG20241 cited

INSIGHT: Universal Neural Simulator for Analog Circuits Harnessing Autoregressive Transformers

Souradip Poddar, Youngmin Oh, Yao Lai +3

Analog front-end design heavily relies on specialized human expertise and costly trial-and-error simulations, which motivated many prior works on analog design automation. However,…

cs.AI2024

LLM-Enhanced Bayesian Optimization for Efficient Analog Layout Constraint Generation

Guojin Chen, Keren Zhu, Seunggeun Kim +4

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

cs.LG2024

AnalogCoder: Analog Circuit Design via Training-Free Code Generation

Yao Lai, Sungyoung Lee, Guojin Chen +4

Analog circuit design is a significant task in modern chip technology, focusing on the selection of component types, connectivity, and parameters to ensure proper circuit functiona…

cs.LG2024

Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs

Yao Lai, Jinxin Liu, David Z. Pan +1

Across a wide range of hardware scenarios, the computational efficiency and physical size of the arithmetic units significantly influence the speed and footprint of the overall har…