Researcher, Amazon
3 papers at NeurIPS 2025
We introduce TabArena, the first continuously maintained living benchmarking system for machine learning on tabular data.
We characterize key factors for good synthetic priors and build a SOTA tabular foundation model by pretraining on these priors.
MLZero automates end-to-end multimodal machine learning with high success rate and solution quality without human intervention.