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Research · Topic

Generative models

Models that learn the distribution of the data and can generate new samples from it.

3 people2 publications4 toolsAlso called generative-model, variational-autoencoder, vae

Research themes

1

People

3

  • Alex Example

    Group leader

    Generative models · Foundation models · Deep learning

  • Blake Sample

    Postdoctoral researcher

    Perturbation modelling · Generative models

  • Kemal Inecik

    PhD student

    Generative models · Deep learning · Cell atlases

Open positions

1

Software

4

  • scGen

    Single cell perturbation prediction.

    361v2.1.05 y agoPython

  • regvelo

    inferring regulatory cellular dynamics

    200v0.4.210 mo agoPython

  • CPA

    The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level.

    157v0.5.03 y agoPython

  • trVAE

    Conditional out-of-distribution prediction

    63v1.1.26 y agoPython

On the map

2

Plate II

Pl. II The map of publications (Plate II) with the 2 works tagged generative models drawn large in the colour of their island.

2 of 742 works marked · data synced 6 Nov 2026

Publications

2

  1. Representations, Single Cell
  2. Representations, Single Cell

News

1