Stochastic Variational Optimization. - Thomas Bird; Julius Kunze; David Barber (CoRR, 2018)

Spread Divergences. - David Barber; Mingtian Zhang; Raza Habib; Thomas Bird (CoRR, 2018)

Practical lossless compression with latent variables using bits back coding. - James Townsend; Thomas Bird; David Barber (ICLR (Poster), 2019)

Variational f-divergence Minimization. - Mingtian Zhang; Thomas Bird; Raza Habib; Tianlin Xu; David Barber (CoRR, 2019)

HiLLoC: lossless image compression with hierarchical latent variable models. - James Townsend; Thomas Bird; Julius Kunze; David Barber (ICLR, 2020)

Spread Divergence. - Mingtian Zhang; Peter Hayes; Thomas Bird; Raza Habib; David Barber (ICML, 2020)

Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks. - Thomas Bird; Friso H. Kingma; David Barber (ICLR, 2021)

3D Scene Compression through Entropy Penalized Neural Representation Functions. - Thomas Bird; Johannes Ballé; Saurabh Singh; Philip A. Chou (PCS, 2021)

A Memory Transformer Network for Incremental Learning. - Ahmet Iscen; Thomas Bird; Mathilde Caron; Alireza Fathi; Cordelia Schmid (BMVC, 2022)