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cs.LG2026
Generative Forecasting from Coarse-Grained Observations: When Does Cascading Help?
Alexandra Spitzer, Giovanni Abati, Lorenzo Baldassari +3
We study probabilistic forecasting of dynamical systems such as fluids and waves from coarse observations. Since the unseen fine scales influence the dynamics, the same coarse init…
cs.LG2026
Dandelion: A Spherical Flower for Neural Simulation of Planetary Dynamics
Till Muser, Giovanni Abati, Ivan Dokmanić
Many dynamical processes unfold on the sphere but the default scientific machine learning architectures are Euclidean. Applying these architectures on a regular lat-lon grid causes…
cs.LG2026
Flowers: A Warp Drive for Neural PDE Solvers
Till Muser, Alexandra Spitzer, Matti Lassas +2
We introduce Flowers, a neural architecture for learning PDE solution operators built entirely from multihead warps. Aside from pointwise channel mixing and a multiscale scaffold,…