Taos Transue

According to our database, Taos Transue authored at least 4 papers in 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Flow Matching-Based Generative Modeling for Efficient and Scalable Data Assimilation.

Taos Transue, Bohan Chen, So Takao, Bao Wang

CoRR, August, 2025

Learning Decentralized Swarms Using Rotation Equivariant Graph Neural Networks.

Taos Transue, Bao Wang

CoRR, February, 2025

Towards Multiscale Graph-based Protein Learning with Geometric Secondary Structural Motifs.

Shih-Hsin Wang, Yuhao Huang, Taos Transue, Justin M. Baker, Jonathan Forstater, Thomas Strohmer, Bao Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Improving Flow Matching by Aligning Flow Divergence.

Yuhao Huang, Taos Transue, Shih-Hsin Wang, William M. Feldman, Hong Zhang, Bao Wang

Proceedings of the Forty-second International Conference on Machine Learning, 2025