3 papers
cs.LG2025
SCALEX: Scalable Concept and Latent Exploration for Diffusion Models
E. Zhixuan Zeng, Yuhao Chen, Alexander Wong
Image generation models frequently encode social biases, including stereotypes tied to gender, race, and profession. Existing methods for analyzing these biases in diffusion models…
cs.LG2024
Enhancing Trust in Clinically Significant Prostate Cancer Prediction with Multiple Magnetic Resonance Imaging Modalities
Benjamin Ng, Chi-en Amy Tai, E. Zhixuan Zeng +1
In the United States, prostate cancer is the second leading cause of deaths in males with a predicted 35,250 deaths in 2024. However, most diagnoses are non-lethal and deemed clini…
cs.CL2024
Decoding Diffusion: A Scalable Framework for Unsupervised Analysis of Latent Space Biases and Representations Using Natural Language Prompts
E. Zhixuan Zeng, Yuhao Chen, Alexander Wong
Recent advances in image generation have made diffusion models powerful tools for creating high-quality images. However, their iterative denoising process makes understanding and i…