3 citations · 4 across the 9 of their papers we have counts for
4 papers · 1 filter
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…
Fast Volume Alignment by Frequency-Marched Newton Method
Fabian Kruse, Valentin Debarnot, Vinith Kishore +1
We introduce Matcha, a fast method for rotational pose estimation in three-dimensional alignment, and combine it with FFT-based translation updates for full pose estimation. Classi…
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,…
Gaussian Surrogates for Poisson Imaging: Some Theoretical and Empirical Results
Alexandra Spitzer, Lorenzo Baldassari, Valentin Debarnot +2
In imaging inverse problems with Poisson-distributed measurements, it is common to use objectives derived from the Poisson likelihood. But performance is often evaluated by mean sq…