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CDS Researchers Make Strong Showing at ICLR 2025

5 min readApr 30, 2025

The International Conference on Learning Representations (ICLR) 2025 has accepted numerous papers from our researchers, showcasing the Center’s continued impact on machine learning research. Thirty-seven researchers from across faculty, postdoctoral researchers, faculty fellows, and PhD students have had their work accepted to this prestigious conference, with contributions spanning diverse areas including language models, multimodal learning, representation learning, and causality.

Several papers received special recognition, with CDS Silver Professor Julia Kempe having two Spotlighted works, on distributionally robust pruning and — with CDS PhD Student Yunzhen Feng — how synthetic data degrades performance and interacts with model scaling. CDS Professor Andrew Gordon Wilson and CDS PhD student Yilun Kuang have a Spotlighted paper on using Bayesian optimization informed by generative models of evolving antibody sequences to more efficiently design effective therapeutic antibodies. Finally, CDS PhD student Jianyu Zhang received Spotlight recognition for his innovative hashtable technique that leverages both CPU and GPU resources to optimize transformer inference.

Congratulations to all CDS researchers whose work was accepted to ICLR 2025. Their contributions continue to advance the field of machine learning and represent the collaborative and innovative research environment at the Center.

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NYU Center for Data Science
NYU Center for Data Science

Written by NYU Center for Data Science

Official account of the Center for Data Science at NYU, home of the Undergraduate, Master’s, and Ph.D. programs in Data Science.

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