| Do concept bottleneck models learn as intended? A Margeloiu, M Ashman, U Bhatt, Y Chen, M Jamnik, A Weller arXiv preprint arXiv:2105.04289, 2021 | 71 | 2021 |
| Scalable gaussian process variational autoencoders M Jazbec, M Ashman, V Fortuin, M Pearce, S Mandt, G Rätsch arXiv preprint arXiv:2010.13472, 2020 | 26 | 2020 |
| Sparse Gaussian Process Variational Autoencoders M Ashman, J So, W Tebbutt, V Fortuin, M Pearce, RE Turner arXiv preprint arXiv:2010.10177, 2020 | 23 | 2020 |
| Partitioned Variational Inference: A Framework for Probabilistic Federated Learning M Ashman, TD Bui, CV Nguyen, E Markou, A Weller, S Swaroop, ... arXiv preprint arXiv:2202.12275, 2022 | 11 | 2022 |
| Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning M Ashman, C Ma, A Hilmkil, J Jennings, C Zhang ICLR 2023, 2023 | 10 | 2023 |
| Translation Equivariant Transformer Neural Processes M Ashman, C Diaconu, J Kim, L Sivaraya, S Markou, J Requeima, ... Forty-first International Conference on Machine Learning, 2024 | 1 | 2024 |
| Approximately Equivariant Neural Processes M Ashman, C Diaconu, A Weller, W Bruinsma, RE Turner arXiv preprint arXiv:2406.13488, 2024 | | 2024 |
| Noise-Aware Differentially Private Regression via Meta-Learning O Räisä, S Markou, M Ashman, WP Bruinsma, M Tobaben, A Honkela, ... arXiv preprint arXiv:2406.08569, 2024 | | 2024 |
| In-Context In-Context Learning with Transformer Neural Processes M Ashman, C Diaconu, A Weller, RE Turner Sixth Symposium on Advances in Approximate Bayesian Inference-Archival Track, 2024 | | 2024 |
| Amortised Inference in Neural Networks for Small-Scale Probabilistic Meta-Learning M Ashman, T Rochussen, A Weller arXiv preprint arXiv:2310.15786, 2023 | | 2023 |
| GeValDi: Generative Validation of Discriminative Models V Palaniappan, M Ashman, KM Collins, J Heo, A Weller, U Bhatt ICLR 2023 Workshop on Pitfalls of limited data and computation for …, 2023 | | 2023 |
| Differentially Private Partitioned Variational Inference MA Heikkilä, M Ashman, S Swaroop, RE Turner, A Honkela TMLR, 2023 | | 2023 |
| Spatio-Temporal Variational Autoencoders MC Ashman | | 2020 |
Adrian WellerDirector of Research, Machine Learning, University of CambridgeVerified email at eng.cam.ac.uk
