3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2025
BRIDGES: Bridging Graph Modality and Large Language Models within EDA Tasks
Wei Li, Yang Zou, Christopher Ellis +3
While many EDA tasks already involve graph-based data, existing LLMs in EDA primarily either represent graphs as sequential text, or simply ignore graph-structured data that might…
cs.LG2024★ 3 cited
Gradient Networks
Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura
Directly parameterizing and learning gradients of functions has widespread significance, with specific applications in inverse problems, generative modeling, and optimal transport.…