
S2WAV
is a JAX package for computing wavelet transforms on the sphere and rotation group. It leverages autodiff to provide differentiable transforms, which are also deployable on modern hardware accelerators (e.g. GPUs and TPUs), and can be mapped across multiple accelerators.
More specifically, S2WAV
provides support for scale-discretised wavelet transforms on the sphere and rotation group (for both real and complex signals), with support for adjoints where needed, and comes with a variety of different optimisations (e.g. precompute or not, multi-resolution algorithms) that one may select depending on available resources and desired angular resolution.
Publications
Talks
Geometric deep learning for atmospheric science
Jul 2025
Exeter University
Differentiable and accelerated spherical transforms
Jun 2025
Durham University
Scientific AI in cosmology and beyond
Apr 2025
University of Southampton
Scientific AI in cosmology and beyond
Dec 2024
International School for Advanced Studies (SISSA)
Towards wide-field, field-level simulation-based inference (SBI) for Euclid cosmic shear
Jul 2024
University of Hull