James Townsend

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David BarberDepartment of Computer Science, University College LondonVerified email at ucl.ac.uk
Sebastian WeichwaldUniversity of Copenhagen / formerly Max Planck Institute for Intelligent Systems, ETH ZurichVerified email at math.ku.dk
Niklas KoepRWTH Aachen UniversityVerified email at rwth-aachen.de
Thomas BirdUniversity College LondonVerified email at ucl.ac.uk
Julius KunzeUniversity College LondonVerified email at ucl.ac.uk
Ashish KhistiProfessor, University of TorontoVerified email at comm.utoronto.ca
Daniel SeveroUniversity of TorontoVerified email at mail.utoronto.ca
Alireza MakhzaniUniversity of Toronto, Vector InstituteVerified email at cs.toronto.edu
Karen UllrichFAIRVerified email at fb.com
Yangjun RuanUniversity of TorontoVerified email at cs.toronto.edu
Chris J. MaddisonUniversity of TorontoVerified email at cs.toronto.edu
Arnaud DoucetProfessor of Statistics, University of Oxford & Senior Research Scientist, Google DeepMindVerified email at stats.ox.ac.uk
Iain MurraySchool of Informatics, University of Edinburgh and AmazonVerified email at ed.ac.uk
Jan-Willem van de MeentUniversity of Amsterdam and Northeastern UniversityVerified email at uva.nl
Paul K RubensteinGoogleVerified email at google.com

James Townsend

University of Amsterdam

Verified email at uva.nl - Homepage

Machine Learning Optimization Compression


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Pymanopt: A python toolbox for optimization on manifolds using automatic differentiation J Townsend, N Koep, S Weichwald arXiv preprint arXiv:1603.03236, 2016	217	2016
Practical lossless compression with latent variables using bits back coding J Townsend, T Bird, D Barber arXiv preprint arXiv:1901.04866, 2019	100	2019
Hilloc: Lossless image compression with hierarchical latent variable models J Townsend, T Bird, J Kunze, D Barber arXiv preprint arXiv:1912.09953, 2019	50	2019
Differentiating the singular value decomposition J Townsend arXiv preprint arXiv:1710.08717, 2016	23	2016
Improving lossless compression rates via monte carlo bits-back coding Y Ruan, K Ullrich, DS Severo, J Townsend, A Khisti, A Doucet, ... International Conference on Machine Learning, 9136-9147, 2021	19	2021
A tutorial on the range variant of asymmetric numeral systems J Townsend arXiv preprint arXiv:2001.09186, 2020	8	2020
Lossless compression with state space models using bits back coding J Townsend, I Murray arXiv preprint arXiv:2103.10150, 2021	6	2021
Lossless compression with latent variable models J Townsend arXiv preprint arXiv:2104.10544, 2021	3	2021
Compressing multisets with large alphabets D Severo, J Townsend, A Khisti, A Makhzani, K Ullrich IEEE Journal on Selected Areas in Information Theory, 2023	2	2023
Your Dataset is a Multiset and You Should Compress it Like One D Severo, J Townsend, AJ Khisti, A Makhzani, K Ullrich NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications, 0	1
Verified Reversible Programming for Verified Lossless Compression J Townsend, JW van de Meent arXiv preprint arXiv:2211.09676, 2022		2022
Adaptive Optimization with Examplewise Gradients J Kunze, J Townsend, D Barber arXiv preprint arXiv:2112.00174, 2021		2021
EP Structured Variational Autoencoders J So, J Townsend, B Gaujac 1st Symposium on Advances in Approximate Bayesian Inference, 2018		2018
The VC-Dimension of Similarity Hypotheses Spaces M Herbster, P Rubenstein, J Townsend arXiv preprint arXiv:1502.07143, 2015		2015

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