| Pymanopt: A python toolbox for optimization on manifolds using automatic differentiation J Townsend, N Koep, S Weichwald arXiv preprint arXiv:1603.03236, 2016 | 176 | 2016 |
| Practical lossless compression with latent variables using bits back coding J Townsend, T Bird, D Barber arXiv preprint arXiv:1901.04866, 2019 | 79 | 2019 |
| Hilloc: Lossless image compression with hierarchical latent variable models J Townsend, T Bird, J Kunze, D Barber arXiv preprint arXiv:1912.09953, 2019 | 41 | 2019 |
| Differentiating the singular value decomposition J Townsend arXiv preprint arXiv:1710.08717, 2016 | 20 | 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 | 16 | 2021 |
| A tutorial on the range variant of asymmetric numeral systems J Townsend arXiv preprint arXiv:2001.09186, 2020 | 7 | 2020 |
| Lossless compression with state space models using bits back coding J Townsend, I Murray arXiv preprint arXiv:2103.10150, 2021 | 5 | 2021 |
| Compressing multisets with large alphabets D Severo, J Townsend, A Khisti, A Makhzani, K Ullrich 2022 Data Compression Conference (DCC), 322-331, 2022 | 2 | 2022 |
| Lossless compression with latent variable models J Townsend arXiv preprint arXiv:2104.10544, 2021 | 1 | 2021 |
| Adaptive Optimization with Examplewise Gradients J Kunze, J Townsend, D Barber arXiv preprint arXiv:2112.00174, 2021 | | 2021 |
| 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, 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 |
| Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation S Weichwald, J Townsend, N Koep | | |
David BarberDepartment of Computer Science, University College LondonVerified email at ucl.ac.uk
