2026
Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical Systems
ICLR 2026poster
We introduce an end-to-end approach to learn the evolution operators of large-scale non-linear dynamical systems, such as those describing complex natural phenomena. Evolution operators are particularly well-suited for analyzing systems that exhibit spatio-temporal patterns and have become a key ana…