James Townsend

25 papers A* 5B 1Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Linear RNNs for autoregressive generation of long music samples.
CoRR
Konrad Szewczyk, Daniel Gallo Fernández, James Townsend
2024 A* conf
Entropy Coding of Unordered Data Structures.
ICLR
Julius Kunze, Daniel Severo, Giulio Zani, Jan-Willem van de Meent, James Townsend
2024 J jnl
Entropy Coding of Unordered Data Structures.
CoRR
Julius Kunze, Daniel Severo, Giulio Zani, Jan-Willem van de Meent, James Townsend
2024 A* conf
Practical Shuffle Coding.
NeurIPS
Julius Kunze, Daniel Severo, Jan-Willem van de Meent, James Townsend
2023 A* conf
One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding.
ICML
Daniel Severo, James Townsend, Ashish J. Khisti, Alireza Makhzani
2023 J jnl
Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs.
CoRR
Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani
2022 J jnl
Compressing Multisets With Large Alphabets.
IEEE J. Sel. Areas Inf. Theory
Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani, Karen Ullrich
2022 B conf
Compressing Multisets with Large Alphabets.
DCC
Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani, Karen Ullrich
2022 J jnl
Parallel Neural Local Lossless Compression.
CoRR
Mingtian Zhang, James Townsend, Ning Kang, David Barber
2022 J jnl
Verified Reversible Programming for Verified Lossless Compression.
CoRR
James Townsend, Jan-Willem van de Meent
2021 J jnl
Adaptive Optimization with Examplewise Gradients.
CoRR
Julius Kunze, James Townsend, David Barber
2021 J jnl
Compressing Multisets with Large Alphabets.
CoRR
Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani, Karen Ullrich
2021 A* conf
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding.
ICML
Yangjun Ruan, Karen Ullrich, Daniel Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison
2021 J jnl
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding.
CoRR
Yangjun Ruan, Karen Ullrich, Daniel Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison
2021 J jnl
Lossless Compression with Latent Variable Models.
CoRR
James Townsend
2021 — —
Lossless compression with latent variable models
James Townsend
2021 J jnl
Lossless compression with state space models using bits back coding.
CoRR
James Townsend, Iain Murray
2020 J jnl
A tutorial on the range variant of asymmetric numeral systems.
CoRR
James Townsend
2020 A* conf
HiLLoC: lossless image compression with hierarchical latent variable models.
ICLR
James Townsend, Thomas Bird, Julius Kunze, David Barber
2019 J jnl
HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models.
CoRR
James Townsend, Thomas Bird, Julius Kunze, David Barber
2019 J jnl
Practical Lossless Compression with Latent Variables using Bits Back Coding.
CoRR
James Townsend, Tom Bird, David Barber
2019 — conf
Practical lossless compression with latent variables using bits back coding.
ICLR (Poster)
James Townsend, Thomas Bird, David Barber
2016 J jnl
Pymanopt: A Python Toolbox for Manifold Optimization using Automatic Differentiation.
CoRR
James Townsend, Niklas Koep, Sebastian Weichwald
2016 J jnl
Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation.
J. Mach. Learn. Res.
James Townsend, Niklas Koep, Sebastian Weichwald
2015 J jnl
The VC-Dimension of Similarity Hypotheses Spaces.
CoRR
Mark Herbster, Paul Rubenstein, James Townsend