Machine learning

Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks. Lim, D-Y. & Sabanis, S. 2021. arXiv:2105.13937 [cs.LG]

Nicole Peinelt, Maria Liakata, Dong Nguyen (2019): Aiming beyond the Obvious - Identifying Non-Obvious Cases in Semantic Similarity Datasets. Proceedings of the 57th Conference of the Association for Computational Linguistics (ACL 2019), pages 2792 - 2798.

Nicole Peinelt, Dong Nguyen, Maria Liakata (2020): tBERT - Topic Models and BERT Joining Forces for Semantic Similarity Detection. Proceedings of the 58th Conference of the Association for Computational Linguistics (ACL 2020), pages 7047-7055.

Data Study Group team. (2021, February 11). Data Study Group Final Report: Greenvest Solutions. Zenodo. https://doi.org/10.5281/zenodo.4534349

Data Study Group team. (2021, February 11). Data Study Group Final Report: Dstl – Anthrax and nerve agent detector. Zenodo. https://doi.org/10.5281/zenodo.4534219

Camuto, A., Willetts, M., Paige, B., Holmes, C., Roberts, S., (2020) Learning Bijective Feature Maps for Linear ICA

Willetts, M., Camuto, A., Rainforth, T., Roberts, S., Holmes, C., (2021) Improving VAEs’ Robustness to Adversarial Attack. International Conference of Learning Representations (ICLR)

Camuto, A., Willetts, M., Şimşekli, U., Roberts, S., & Holmes, C. (2020). Explicit Regularisation in Gaussian Noise Injections. NeurIPS

Willetts, M., Roberts, S., Holmes, C. (2019) Disentangling to Cluster: Gaussian Mixture Variational Ladder Autoencoders. NeurIPS Bayesian Deep Learning Workshop 2019