2 papers
cs.LG2026
Reconstructing Multi-Scale Physical Fields from Extremely Sparse Measurements with an Autoencoder-Diffusion Cascade
Letian Yi, Tingpeng Zhang, Mingyuan Zhou +3
Extreme sensor sparsity makes full-field reconstruction a fundamentally ill-posed problem in scientific sensing,where the goal is to infer physical fields from sparse measurements.…
cs.CE2025
Transforming physics-informed machine learning to convex optimization
Letian Yi, Siyuan Yang, Ying Cui +1
Physics-Informed Machine Learning (PIML) offers a powerful paradigm of integrating data with physical laws to address important scientific problems, such as parameter estimation, i…