James Townsend

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 21

Top Topics

Lossless Compression

Top Venues

Publications

Julius Kunze, Daniel Severo, Giulio Zani, Jan-Willem van de Meent, James Townsend
Entropy Coding of Unordered Data Structures. ICLR (2024)
Daniel Severo, James Townsend, Ashish J. Khisti, Alireza Makhzani
One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding. ICML (2023)
Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani
Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs. CoRR (2023)
Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani, Karen Ullrich
Compressing Multisets with Large Alphabets. DCC (2022)
Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani, Karen Ullrich
Compressing Multisets With Large Alphabets. IEEE J. Sel. Areas Inf. Theory 3 (4) (2022)
James Townsend, Jan-Willem van de Meent
Verified Reversible Programming for Verified Lossless Compression. CoRR (2022)
Mingtian Zhang, James Townsend, Ning Kang, David Barber
Parallel Neural Local Lossless Compression. CoRR (2022)
Julius Kunze, James Townsend, David Barber
Adaptive Optimization with Examplewise Gradients. CoRR (2021)
James Townsend, Iain Murray
Lossless compression with state space models using bits back coding. CoRR (2021)
James Townsend
Lossless Compression with Latent Variable Models. CoRR (2021)
Yangjun Ruan, Karen Ullrich, Daniel Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding. ICML (2021)
Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani, Karen Ullrich
Compressing Multisets with Large Alphabets. CoRR (2021)
Yangjun Ruan, Karen Ullrich, Daniel Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding. CoRR (2021)
James Townsend
A tutorial on the range variant of asymmetric numeral systems. CoRR (2020)
James Townsend, Thomas Bird, Julius Kunze, David Barber
HiLLoC: lossless image compression with hierarchical latent variable models. ICLR (2020)
James Townsend, Thomas Bird, Julius Kunze, David Barber
HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models. CoRR (2019)
James Townsend, Thomas Bird, David Barber
Practical lossless compression with latent variables using bits back coding. ICLR (Poster) (2019)
James Townsend, Tom Bird, David Barber
Practical Lossless Compression with Latent Variables using Bits Back Coding. CoRR (2019)
James Townsend, Niklas Koep, Sebastian Weichwald
Pymanopt: A Python Toolbox for Manifold Optimization using Automatic Differentiation. CoRR (2016)
James Townsend, Niklas Koep, Sebastian Weichwald
Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation. J. Mach. Learn. Res. 17 (2016)
Mark Herbster, Paul Rubenstein, James Townsend
The VC-Dimension of Similarity Hypotheses Spaces. CoRR (2015)