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Chieh-Hsin Lai

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• Stabilizing Physics-Informed Consistency Models via Structure-Preserving Training
• GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning
• TINNs: Time-Induced Neural Networks for Solving Time-Dependent PDEs
• Improved Object-Centric Diffusion Learning with Registers and Contrastive Alignment
• MeanFlow Transformers with Representation Autoencoders