| Pymanopt: A python toolbox for optimization on manifolds using automatic differentiation J Townsend, N Koep, S Weichwald arXiv preprint arXiv:1603.03236, 2016 | 111 | 2016 |
| Practical lossless compression with latent variables using bits back coding J Townsend, T Bird, D Barber arXiv preprint arXiv:1901.04866, 2019 | 35 | 2019 |
| Hilloc: Lossless image compression with hierarchical latent variable models J Townsend, T Bird, J Kunze, D Barber arXiv preprint arXiv:1912.09953, 2019 | 14 | 2019 |
| Differentiating the singular value decomposition J Townsend arXiv preprint arXiv:1710.08717, 2016 | 13 | 2016 |
| Lossless compression with state space models using bits back coding J Townsend, I Murray arXiv preprint arXiv:2103.10150, 2021 | 1 | 2021 |
| Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding Y Ruan, K Ullrich, D Severo, J Townsend, A Khisti, A Doucet, A Makhzani, ... arXiv preprint arXiv:2102.11086, 2021 | 1 | 2021 |
| A tutorial on the range variant of asymmetric numeral systems J Townsend arXiv preprint arXiv:2001.09186, 2020 | 1 | 2020 |
| Lossless Compression with Latent Variable Models J Townsend arXiv preprint arXiv:2104.10544, 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 |
Sebastian WeichwaldUniversity of Copenhagen / formerly Max Planck Institute for Intelligent Systems, ETH ZurichVerified email at math.ku.dk
