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Author

Naren Ramakrishnan

3 papers indexed here

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Preprint Oct 2026

Compositional Concept Erasure in Text-to-Image Diffusion Models via Hierarchically Grounded Semantic Surgery

Removing copyrighted, unsafe, or user-specified concepts from a deployed text-to-image diffusion model is now a practical requirement. Weight-editing methods can suppress fixed targets, but they require per-target retraining and modify the model checkpoint. Training-free methods, on the other hand, are deployment-frien...

Chen-Di Dai, Gan-Yu Zou, Nathan Self et al. · 0 citations
Preprint Oct 2026

DOGS: Design-Space Sampling for Prompt-Driven Logo Generation

Prompt optimization for text-to-image (T2I) generation has been pursued almost entirely as text rewriting, in which a short user brief is expanded into a longer, model-preferred token sequence. We argue that such a language-space formulation is ill-suited to structured visual design tasks such as logo creation, where a...

Gan-Yu Zou, Chen-Di Dai, Nathan Self et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Graph World Models for Constrained Epidemic Policy Planning

Epidemic policy planning often requires coordination between geographical regions, taking into account mobility-driven spillovers and how to make use of limited resources. Existing methods either lack action-conditioned models of coupled dynamics or cannot guarantee per-period feasibility. We present EpiMind, a graph w...

Yi-Qi Su, Rashed Shelim, Ling-Yi Wang et al. · 0 citations

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