James Townsend

According to our database, James Townsend authored at least 17 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs.

Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani

CoRR, 2023

One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding.

Daniel Severo, James Townsend, Ashish J. Khisti, Alireza Makhzani

Proceedings of the International Conference on Machine Learning, 2023

2022

Compressing Multisets With Large Alphabets.

Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani, Karen Ullrich

IEEE J. Sel. Areas Inf. Theory, December, 2022

Verified Reversible Programming for Verified Lossless Compression.

James Townsend, Jan-Willem van de Meent

CoRR, 2022

Parallel Neural Local Lossless Compression.

Mingtian Zhang, James Townsend, Ning Kang, David Barber

CoRR, 2022

2021

Lossless compression with latent variable models

James Townsend

PhD thesis, 2021

Adaptive Optimization with Examplewise Gradients.

Julius Kunze, James Townsend, David Barber

CoRR, 2021

Lossless Compression with Latent Variable Models.

James Townsend

CoRR, 2021

Lossless compression with state space models using bits back coding.

James Townsend, Iain Murray

CoRR, 2021

Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding.

Yangjun Ruan, Karen Ullrich, Daniel Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

A tutorial on the range variant of asymmetric numeral systems.

James Townsend

CoRR, 2020

HiLLoC: lossless image compression with hierarchical latent variable models.

James Townsend, Thomas Bird, Julius Kunze, David Barber

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Practical Lossless Compression with Latent Variables using Bits Back Coding.

James Townsend, Tom Bird, David Barber

CoRR, 2019

Practical lossless compression with latent variables using bits back coding.

James Townsend, Thomas Bird, David Barber

Proceedings of the 7th International Conference on Learning Representations, 2019

2016

Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation.

James Townsend, Niklas Koep, Sebastian Weichwald

J. Mach. Learn. Res., 2016

Pymanopt: A Python Toolbox for Manifold Optimization using Automatic Differentiation.

James Townsend, Niklas Koep, Sebastian Weichwald

CoRR, 2016

2015

The VC-Dimension of Similarity Hypotheses Spaces.

Mark Herbster, Paul Rubenstein, James Townsend

CoRR, 2015