2 papers
q-bio.QM2026
Discovering interpretable low-dimensional dynamics using maximum entropy
Michael C. Chung, Tarran Mohan, Purushottam D. Dixit +1
Models (i.e., governing equations) are fundamental to science and engineering. Advances in data acquisition now make it possible to extract interpretable, low dimensional descripti…
q-bio.QM2026
An information-based model selection criterion for data-driven model discovery
Michael C Chung, Alen Zacharia, Juan Guan
Data-driven model discovery (DDMD) algorithms are powerful tools for extracting interpretable symbolic models from data. However, identifying the model that best balances goodness-…