Director, Fujitsu Research and Development Center Co. Ltm.
2 papers at NeurIPS 2025
Parameter efficient interpretable neural additive model for graph data
We generate global text-based explanations using representative nodes (exemplars) in the embedding space. The exemplars are selected via coverage maximization, and their signatures are explained using natural language rules from a self-refining LLM.
