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James Townsend
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2020 – today
- 2024
- [c6]Julius Kunze, Daniel Severo, Giulio Zani, Jan-Willem van de Meent, James Townsend:
Entropy Coding of Unordered Data Structures. ICLR 2024 - [i14]Julius Kunze, Daniel Severo, Giulio Zani, Jan-Willem van de Meent, James Townsend:
Entropy Coding of Unordered Data Structures. CoRR abs/2408.08837 (2024) - 2023
- [c5]Daniel Severo, James Townsend, Ashish J. Khisti, Alireza Makhzani:
One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding. ICML 2023: 30633-30645 - [i13]Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani:
Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs. CoRR abs/2305.09705 (2023) - 2022
- [j2]Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani, Karen Ullrich:
Compressing Multisets With Large Alphabets. IEEE J. Sel. Areas Inf. Theory 3(4): 605-615 (2022) - [c4]Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani, Karen Ullrich:
Compressing Multisets with Large Alphabets. DCC 2022: 322-331 - [i12]Mingtian Zhang, James Townsend, Ning Kang, David Barber:
Parallel Neural Local Lossless Compression. CoRR abs/2201.05213 (2022) - [i11]James Townsend, Jan-Willem van de Meent:
Verified Reversible Programming for Verified Lossless Compression. CoRR abs/2211.09676 (2022) - 2021
- [b1]James Townsend:
Lossless compression with latent variable models. University College London (University of London), UK, 2021 - [c3]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: 9136-9147 - [i10]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 abs/2102.11086 (2021) - [i9]James Townsend, Iain Murray:
Lossless compression with state space models using bits back coding. CoRR abs/2103.10150 (2021) - [i8]James Townsend:
Lossless Compression with Latent Variable Models. CoRR abs/2104.10544 (2021) - [i7]Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani, Karen Ullrich:
Compressing Multisets with Large Alphabets. CoRR abs/2107.09202 (2021) - [i6]Julius Kunze, James Townsend, David Barber:
Adaptive Optimization with Examplewise Gradients. CoRR abs/2112.00174 (2021) - 2020
- [c2]James Townsend, Thomas Bird, Julius Kunze, David Barber:
HiLLoC: lossless image compression with hierarchical latent variable models. ICLR 2020 - [i5]James Townsend:
A tutorial on the range variant of asymmetric numeral systems. CoRR abs/2001.09186 (2020)
2010 – 2019
- 2019
- [c1]James Townsend, Thomas Bird, David Barber:
Practical lossless compression with latent variables using bits back coding. ICLR (Poster) 2019 - [i4]James Townsend, Tom Bird, David Barber:
Practical Lossless Compression with Latent Variables using Bits Back Coding. CoRR abs/1901.04866 (2019) - [i3]James Townsend, Thomas Bird, Julius Kunze, David Barber:
HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models. CoRR abs/1912.09953 (2019) - 2016
- [j1]James Townsend, Niklas Koep, Sebastian Weichwald:
Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation. J. Mach. Learn. Res. 17: 137:1-137:5 (2016) - [i2]James Townsend, Niklas Koep, Sebastian Weichwald:
Pymanopt: A Python Toolbox for Manifold Optimization using Automatic Differentiation. CoRR abs/1603.03236 (2016) - 2015
- [i1]Mark Herbster, Paul Rubenstein, James Townsend:
The VC-Dimension of Similarity Hypotheses Spaces. CoRR abs/1502.07143 (2015)
Coauthor Index
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last updated on 2024-09-26 00:58 CEST by the dblp team
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