sequince-density documentation

sequince-density documentation#

sequince-density provides density estimators for use with the Sequince SMC framework, including fitted proposal distributions and normalizing flows for preconditioned sampling.

Features#

  • Normalizing-flow adapters for Zuko (PyTorch) and FlowJAX (JAX).

  • Gaussian-mixture proposals fitted with scikit-learn.

  • Integration with Sequince’s FlowTransform for mutation in a learned latent space and FlowProposal for fitted proposal distributions.

Contents

Citing sequince-density#

If you use sequince-density, please cite the archived software:

Williams, M. J. (2026). sequince-dev/sequince-density. Zenodo. doi:10.5281/zenodo.23687687.

Ideally, cite the Zenodo record for the exact version used in your analysis. Select that version on Zenodo and export its citation in your preferred format, using that record’s DOI. Also cite the methods and backends used in your analysis; see Normalizing flows and Gaussian mixture models. For the sampling framework, follow Sequince’s citation guidelines.