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cs.LG2026
Learning PDE Time-Stepping with Neural Cellular Automata
Esha Saha, Hao Wang
Classical numerical solvers for partial differential equations (PDEs) are computationally expensive to solve repeatedly across varying initial conditions, motivating the need for l…
cs.LG2025
Learning Coupled System Dynamics under Incomplete Physical Constraints and Missing Data
Esha Saha, Hao Wang
Advances in data acquisition and computational methods have accelerated the use of differential equation based modelling for complex systems. Such systems are often described by co…