| Pymanopt: A python toolbox for optimization on manifolds using automatic differentiation J Townsend, N Koep, S Weichwald Journal of Machine Learning Research 17 (137), 1-5, 2016 | 342 | 2016 |
| Practical lossless compression with latent variables using bits back coding J Townsend, T Bird, D Barber arXiv preprint arXiv:1901.04866, 2019 | 170 | 2019 |
| Hilloc: Lossless image compression with hierarchical latent variable models J Townsend, T Bird, J Kunze, D Barber arXiv preprint arXiv:1912.09953, 2019 | 78 | 2019 |
| Differentiating the singular value decomposition J Townsend arXiv preprint arXiv:1710.08717, 2016 | 38 | 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 | 32 | 2021 |
| A tutorial on the range variant of asymmetric numeral systems J Townsend arXiv preprint arXiv:2001.09186, 2020 | 26 | 2020 |
| Compressing multisets with large alphabets D Severo, J Townsend, A Khisti, A Makhzani, K Ullrich IEEE Journal on Selected Areas in Information Theory 3 (4), 605-615, 2022 | 11 | 2022 |
| Lossless compression with latent variable models J Townsend arXiv preprint arXiv:2104.10544, 2021 | 11 | 2021 |
| Lossless compression with state space models using bits back coding J Townsend, I Murray arXiv preprint arXiv:2103.10150, 2021 | 10 | 2021 |
| Parallel neural local lossless compression M Zhang, J Townsend, N Kang, D Barber arXiv preprint arXiv:2201.05213, 2022 | 9 | 2022 |
| Entropy coding of unordered data structures J Kunze, D Severo, G Zani, JW van de Meent, J Townsend arXiv preprint arXiv:2408.08837, 2024 | 5 | 2024 |
| 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 | 5 | 2021 |
| One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding D Severo, J Townsend, AJ Khisti, A Makhzani International Conference on Machine Learning, 30633-30645, 2023 | 3 | 2023 |
| Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs D Severo, J Townsend, A Khisti, A Makhzani arXiv preprint arXiv:2305.09705, 2023 | 3 | 2023 |
| Practical shuffle coding J Kunze, D Severo, JW van de Meent, J Townsend Advances in Neural Information Processing Systems 37, 84081-84113, 2024 | 1 | 2024 |
| 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 |
David BarberDepartment of Computer Science, University College Londonucl.ac.uk의 이메일 확인됨
