Publications

Workshops

[W.1] Provable In-Context Learning of Linear Systems and Linear Elliptic PDEs with Transformers

Frank Cole, Yulong Lu, Riley O'Neill, and Tianhao Zhang (alphabetical order), 2024. Neurips 2024 Workshop Foundation Models for Science: Progress, Opportunities, and Challenges Poster. Link.

Preprints

[5] Provable In-Context Learning of Linear Systems and Linear Elliptic PDEs with Transformers

Frank Cole, Yulong Lu, Riley O'Neill, and Tianhao Zhang (alphabetical order), 2024. Link.

[4] On the Sequence Evaluation based on Stochastic Processes

Tianhao Zhang*, Zhexiao Lin*, Zhecheng Sheng*, Chen Jiang* and Dongyeop Kang (*=equal contributions), 2024. Link.

Publications

[3] BBScore: A Brownian bridge based metric for assessing text coherence

Zhecheng Sheng*, Tianhao Zhang*, Chen Jiang* and Dongyeop Kang (*=equal contributions), Proceedings of the AAAI Conference on Artificial Intelligence, 38(13), 14937-14945. Link.

[2] The Interaction of Mechanics and the Hippo Pathway in Drosophila melanogaster

Jia Gou*, Tianhao Zhang*, and Hans G. Othmer (*=equal contributions), Cancers 2023; 15(19):4840. Link.

[1] A constructive proof of the Cauchy–Kovalevskaya theorem for ordinary differential equations

Shane Kepley, and Tianhao Zhang (alphabetical order), Journal of Fixed Point Theory and Applications 23, 7. Link.