| Bayesian low-rank adaptation for large language models AX Yang, M Robeyns, X Wang, L Aitchison arXiv preprint arXiv:2308.13111, 2023 | 19 | 2023 |
| LoRA ensembles for large language model fine-tuning X Wang, L Aitchison, M Rudolph arXiv preprint arXiv:2310.00035, 2023 | 18 | 2023 |
| Particle-based variational inference with preconditioned functional gradient flow H Dong, X Wang, Y Lin, T Zhang arXiv preprint arXiv:2211.13954, 2022 | 13 | 2022 |
| Relaxed multivariate bernoulli distribution and its applications to deep generative models X Wang, J Yin Conference on Uncertainty in Artificial Intelligence, 500-509, 2020 | 13 | 2020 |
| Bayesian OOD detection with aleatoric uncertainty and outlier exposure X Wang, L Aitchison arXiv preprint arXiv:2102.12959, 2021 | 10 | 2021 |
| Dual control variate for faster black-box variational inference X Wang, T Geffner, J Domke arXiv preprint arXiv:2210.07290, 2022 | 5* | 2022 |
| Robustness to corruption in pre-trained Bayesian neural networks X Wang, L Aitchison arXiv preprint arXiv:2206.12361, 2022 | 3* | 2022 |
| Batch size invariant Adam X Wang, L Aitchison arXiv preprint arXiv:2402.18824, 2024 | | 2024 |
Laurence AitchisonUniversity of BristolVerified email at bristol.ac.uk
