Kenna Ashen — accepted AI-conference papers

2025

Graph-based Symbolic Regression with Invariance and Constraint Encoding

Ziyu Xiang, Kenna Ashen, Xiaofeng Qian, Xiaoning Qian

NeurIPS 2025poster

Symbolic regression (SR) seeks interpretable analytical expressions that uncover the governing relationships within data, providing mechanistic insight beyond 'black-box' models. However, existing SR methods often suffer from two key limitations: (1) *redundant representations* that fail to capture…

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2024

Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation

Keqiang Yan, Xiner Li, Hongyi Ling, Kenna Ashen, Carl Edwards, Raymundo Arroyave +5

NeurIPS 2024poster

We consider the problem of crystal materials generation using language models (LMs). A key step is to convert 3D crystal structures into 1D sequences to be processed by LMs. Prior studies used the crystallographic information framework (CIF) file stream, which fails to ensure SE(3) and periodic inva…

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