1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
TabReason: A Reinforcement Learning-Enhanced Reasoning LLM for Explainable Tabular Data Prediction
Tommy Xu, Zhitian Zhang, Xiangyu Sun +3
Predictive modeling on tabular data is the cornerstone of many real-world applications. Although gradient boosting machines and some recent deep models achieve strong performance o…
cs.LG2023★ 1 cited
Computing with Categories in Machine Learning
Eli Sennesh, Tom Xu, Yoshihiro Maruyama
Category theory has been successfully applied in various domains of science, shedding light on universal principles unifying diverse phenomena and thereby enabling knowledge transf…
cs.AI2022
A Probabilistic Generative Model of Free Categories
Eli Sennesh, Tom Xu, Yoshihiro Maruyama
Applied category theory has recently developed libraries for computing with morphisms in interesting categories, while machine learning has developed ways of learning programs in i…