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