| Practical Lossless Compression with Latent Variables using Bits Back Coding J Townsend, T Bird, D Barber Proceedings of the 7th International Conference on Learning Representations …, 2019 | 146 | 2019 |
| HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models J Townsend, T Bird, J Kunze, D Barber Proceedings of the 8th International Conference on Learning Representations …, 2019 | 68 | 2019 |
| 3d scene compression through entropy penalized neural representation functions T Bird, J Ballé, S Singh, PA Chou 2021 Picture Coding Symposium (PCS), 1-5, 2021 | 31 | 2021 |
| Spread divergence M Zhang, P Hayes, T Bird, R Habib, D Barber International Conference on Machine Learning, 11106-11116, 2020 | 28* | 2020 |
| Variational f-divergence minimization M Zhang, T Bird, R Habib, T Xu, D Barber arXiv preprint arXiv:1907.11891, 2019 | 28 | 2019 |
| Stochastic variational optimization T Bird, J Kunze, D Barber arXiv preprint arXiv:1809.04855, 2018 | 18 | 2018 |
| Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks T Bird, FH Kingma, D Barber Proceedings of the 9th International Conference on Learning Representations …, 2021 | 14 | 2021 |
| A memory transformer network for incremental learning A Iscen, T Bird, M Caron, A Fathi, C Schmid arXiv preprint arXiv:2210.04485, 2022 | 6 | 2022 |
| Data compression and computational efficiency T Bird UCL (University College London), 2023 | | 2023 |
