| Provably strict generalisation benefit for equivariant models B Elesedy, S Zaidi International conference on machine learning, 2959-2969, 2021 | 95 | 2021 |
| Provably strict generalisation benefit for invariance in kernel methods B Elesedy Advances in Neural Information Processing Systems 34, 17273-17283, 2021 | 34 | 2021 |
| Group Symmetry in PAC Learning B Elesedy ICLR 2022 Workshop on Geometrical and Topological Representation Learning …, 2022 | 27 | 2022 |
| Lottery tickets in linear models: An analysis of iterative magnitude pruning B Elesedy, V Kanade, YW Teh arXiv preprint arXiv:2007.08243, 2020 | 26 | 2020 |
| Efficient Bayesian inference of instantaneous reproduction numbers at fine spatial scales, with an application to mapping and nowcasting the Covid-19 epidemic in British local … YW Teh, B Elesedy, B He, M Hutchinson, S Zaidi, A Bhoopchand, ... Journal of the Royal Statistical Society Series A: Statistics in Society 185 …, 2022 | 16 | 2022 |
| Effectiveness and resource requirements of test, trace and isolate strategies for COVID in the UK B He, S Zaidi, B Elesedy, M Hutchinson, A Paleyes, G Harling, ... Royal Society open science 8 (3), 201491, 2021 | 6 | 2021 |
| Symmetry and Generalisation in Machine Learning HB Elesedy PhD thesis, University of Oxford, 2023 | 4 | 2023 |
| Technical Document 3: Effectiveness and Resource Requirements of Test, Trace and Isolate Strategies B He, S Zaidi, B Elesedy, M Hutchinson, A Paleyes, G Harling, A Johnson DELVE, 2020 | 4 | 2020 |
| LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Models H Elesedy, PM Esperança, SV Oprea, M Ozay EMNLP, 11746–11765, 2024 | 3 | 2024 |
| Randomized asymmetric chain of lora: The first meaningful theoretical framework for low-rank adaptation G Malinovsky, U Michieli, HAAK Hammoud, T Ceritli, H Elesedy, M Ozay, ... arXiv preprint arXiv:2410.08305, 2024 | 2 | 2024 |
| U-Clip: On-Average Unbiased Stochastic Gradient Clipping B Elesedy, M Hutter arXiv preprint arXiv:2302.02971, 2023 | 2 | 2023 |
| Technical Document 3: Effectiveness and Resource Requirements of Test B He, S Zaidi, B Elesedy, M Hutchinson, A Paleyes, G Harling, A Johnson, ... Trace and Isolate Strategies, 2020 | 2 | 2020 |
| UK Local Covid Map YW Teh, A Bhoopchand, P Diggle, B Elesedy, B He, M Hutchinson, ... | 2 | |
| Determining stationary points of a loss function using clipped and unbiased gradients M Hutter, BHK Elesedy US Patent App. 18/424,545, 2024 | | 2024 |
| Authors' reply to the discussion of ‘Efficient Bayesian Inference of Instantaneous Reproduction Numbers at Fine Spatial Scales, with an Application to Mapping and Nowcasting … YW Teh, B Elesedy, B He, M Hutchinson, S Zaidi, A Bhoopchand, ... Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2022 | | 2022 |
| Solutions Manual for Reinforcement Learning: An Introduction B Elesedy | | 2018 |
| Timescales of Galaxy Mergers and Satellite Stripping B Elesedy https://bryn.ai/assets/masters-thesis.pdf, 2015 | | 2015 |
Sheheryar ZaidiResearch Scientist, Google DeepMindE-mail megerősítve itt: stats.ox.ac.uk