Bridging generative world models and causal reasoning for realistic yet adversarial safety-critical scenario generation.
Code Repository for CausalDiffAE (ECAI 2024)
A Survey on Causal Generative Modeling (TMLR 2024)
XAI-Explaining AI black box models
[ShapeMI'26, Oral] PyTorch Implementation for "AutoFFS: Adversarial Deformations for Facial Feminization Surgery Planning"
MUtE is a framework for erasing sensitive concepts from continuous representations while inducing a deterministic counterfactual mapping, which allows for both bias mitigation and the generation of counterfactuals
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