The VC-Dimension of Similarity Hypotheses Spaces. - Mark Herbster; Paul Rubenstein; James Townsend (CoRR, 2015)

Pymanopt: A Python Toolbox for Manifold Optimization using Automatic Differentiation. - James Townsend; Niklas Koep; Sebastian Weichwald (CoRR, 2016)

Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation. - James Townsend; Niklas Koep; Sebastian Weichwald (J. Mach. Learn. Res., 2016)

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

Practical Lossless Compression with Latent Variables using Bits Back Coding. - James Townsend; Tom Bird; David Barber (CoRR, 2019)

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

A tutorial on the range variant of asymmetric numeral systems. - James Townsend (CoRR, 2020)

Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding. - Yangjun Ruan; Karen Ullrich; Daniel Severo 001; James Townsend; Ashish Khisti; Arnaud Doucet; Alireza Makhzani; Chris J. Maddison (ICML, 2021)

Lossless compression with state space models using bits back coding. - James Townsend; Iain Murray 001 (CoRR, 2021)

Lossless Compression with Latent Variable Models. - James Townsend (CoRR, 2021)

Adaptive Optimization with Examplewise Gradients. - Julius Kunze; James Townsend; David Barber (CoRR, 2021)

Lossless compression with latent variable models - James Townsend (2021)

Parallel Neural Local Lossless Compression. - Mingtian Zhang; James Townsend; Ning Kang 001; David Barber (CoRR, 2022)

Verified Reversible Programming for Verified Lossless Compression. - James Townsend; Jan-Willem van de Meent (CoRR, 2022)

Compressing Multisets With Large Alphabets. - Daniel Severo 001; James Townsend; Ashish Khisti; Alireza Makhzani; Karen Ullrich (IEEE J. Sel. Areas Inf. Theory, 2022)

One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding. - Daniel Severo 001; James Townsend; Ashish J. Khisti; Alireza Makhzani (ICML, 2023)

Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs. - Daniel Severo 001; James Townsend; Ashish Khisti; Alireza Makhzani (CoRR, 2023)

Entropy Coding of Unordered Data Structures. - Julius Kunze; Daniel Severo 001; Giulio Zani; Jan-Willem van de Meent; James Townsend (ICLR, 2024)

Practical Shuffle Coding. - Julius Kunze; Daniel Severo 001; Jan-Willem van de Meent; James Townsend (NeurIPS, 2024)