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Tim G. J. Rudner, an instructor at NYU’s Center for Data Science, has been honored with multiple prestigious accolades for his innovative AI research. His work on machine learning fairness earned a Notable Paper Award at AISTATS 2024 for a paper co-authored with NYU colleagues Julia Kempe and Andrew Gordon Wilson. The team proposed Group-Aware Priors (GAP) to address subpopulation shifts, ensuring AI models perform reliably across all groups. Rudner also received a Spotlight at NeurIPS 2024 for his research on pre-trained text-to-image diffusion models. His findings challenge existing approaches in control tasks, demonstrating the effectiveness of diffusion models in robotic control, potentially reshaping the field. Rudner’s work is pivotal in advancing AI’s application in diverse areas like generative AI, healthcare, and scientific discovery.

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