Yuxuan Liu

According to our database, Yuxuan Liu authored at least 10 papers between 2022 and 2026.

Collaborative distances:

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

2026

Adam Improves Muon: Adaptive Moment Estimation with Orthogonalized Momentum.

Minxin Zhang, Yuxuan Liu, Hayden Schaeffer

CoRR, February, 2026

VICON: Vision In-Context Operator Networks for Multi-Physics Fluid Dynamics Prediction.

Yadi Cao, Yuxuan Liu, Liu Yang, Rose Yu, Hayden Schaeffer, Stanley J. Osher

Trans. Mach. Learn. Res., 2026

2025

AdaGrad Meets Muon: Adaptive Stepsizes for Orthogonal Updates.

Minxin Zhang, Yuxuan Liu, Hayden Schaeffer

CoRR, September, 2025

A Multimodal PDE Foundation Model for Prediction and Scientific Text Descriptions.

Elisa Negrini, Yuxuan Liu, Liu Yang, Stanley J. Osher, Hayden Schaeffer

CoRR, February, 2025

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics.

Yuxuan Liu, Jingmin Sun, Hayden Schaeffer

CoRR, January, 2025

2024

PROSE: Predicting Multiple Operators and Symbolic Expressions using multimodal transformers.

Yuxuan Liu, Zecheng Zhang, Hayden Schaeffer

Neural Networks, 2024

PROSE-FD: A Multimodal PDE Foundation Model for Learning Multiple Operators for Forecasting Fluid Dynamics.

Yuxuan Liu, Jingmin Sun, Xinjie He, Griffin Pinney, Zecheng Zhang, Hayden Schaeffer

CoRR, 2024

Towards a Foundation Model for Partial Differential Equations: Multi-Operator Learning and Extrapolation.

Jingmin Sun, Yuxuan Liu, Zecheng Zhang, Hayden Schaeffer

CoRR, 2024

2023

PROSE: Predicting Operators and Symbolic Expressions using Multimodal Transformers.

Yuxuan Liu, Zecheng Zhang, Hayden Schaeffer

CoRR, 2023

2022

Random Feature Models for Learning Interacting Dynamical Systems.

Yuxuan Liu, Scott G. McCalla, Hayden Schaeffer

CoRR, 2022