| Few-shot adversarial learning of realistic neural talking head models E Zakharov, A Shysheya, E Burkov, V Lempitsky Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 781 | 2019 |
| Fast bi-layer neural synthesis of one-shot realistic head avatars E Zakharov, A Ivakhnenko, A Shysheya, V Lempitsky Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 172 | 2020 |
| Textured neural avatars A Shysheya, E Zakharov, KA Aliev, R Bashirov, E Burkov, K Iskakov, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 124 | 2019 |
| Mattergen: a generative model for inorganic materials design C Zeni, R Pinsler, D Zügner, A Fowler, M Horton, X Fu, S Shysheya, ... arXiv preprint arXiv:2312.03687, 2023 | 113 | 2023 |
| Fit: Parameter efficient few-shot transfer learning for personalized and federated image classification A Shysheya, J Bronskill, M Patacchiola, S Nowozin, RE Turner arXiv preprint arXiv:2206.08671, 2022 | 27 | 2022 |
| A generative model for inorganic materials design C Zeni, R Pinsler, D Zügner, A Fowler, M Horton, X Fu, Z Wang, ... Nature, 1-3, 2025 | 15 | 2025 |
| Contextual squeeze-and-excitation for efficient few-shot image classification M Patacchiola, J Bronskill, A Shysheya, K Hofmann, S Nowozin, R Turner Advances in Neural Information Processing Systems 35, 36680-36692, 2022 | 15 | 2022 |
| On the efficacy of differentially private few-shot image classification M Tobaben, A Shysheya, J Bronskill, A Paverd, S Tople, ... arXiv preprint arXiv:2302.01190, 2023 | 14 | 2023 |
| Textured neural avatars AP Shysheya, KA Aliev, RM Bashirov, EA Burkov, KZ Iskakov, ... US Patent 11,367,239, 2022 | 12 | 2022 |
| Denoising diffusion probabilistic models in six simple steps RE Turner, CD Diaconu, S Markou, A Shysheya, AYK Foong, ... arXiv preprint arXiv:2402.04384, 2024 | 6 | 2024 |
| Electronic device and controlling method thereof VS Lempitsky, AP Shysheya, EO Zakharov, EA Burkov US Patent 11,568,645, 2023 | 4 | 2023 |
| Transformer neural autoregressive flows M Patacchiola, A Shysheya, K Hofmann, RE Turner arXiv preprint arXiv:2401.01855, 2024 | 3 | 2024 |
| Guided autoregressive diffusion models with applications to PDE simulation F Bergamin, C Diaconu, A Shysheya, P Perdikaris, JM Hernández-Lobato, ... ICLR 2024 Workshop on AI4DifferentialEquations In Science, 2024 | 3 | 2024 |
| Diffusion-Augmented Neural Processes L Bonito, J Requeima, A Shysheya, RE Turner arXiv preprint arXiv:2311.09848, 2023 | 2 | 2023 |
| Differentially Private Federated Few-shot Image Classification A Shysheya, M Tobaben, JF Bronskill, A Paverd, S Tople, ... ICLR 2023 Workshop on Pitfalls of limited data and computation for …, 2023 | 1 | 2023 |
| Neural Models for Non-Uniformly Sampled Data A Shysheya MA thesis. Department of Engineering, University of Cambridge.(Cited on page …, 2020 | 1 | 2020 |
| JoLT: Joint Probabilistic Predictions on Tabular Data Using LLMs A Shysheya, J Bronskill, J Requeima, SA Siddiqui, J Gonzalez, ... arXiv preprint arXiv:2502.11877, 2025 | | 2025 |
| On conditional diffusion models for PDE simulations A Shysheya, C Diaconu, F Bergamin, P Perdikaris, JM Hernández-Lobato, ... Advances in Neural Information Processing Systems 37, 23246-23300, 2025 | | 2025 |
| Electronic device and controlling method thereof VS Lempitsky, AP Shysheya, EO Zakharov, EA Burkov US Patent 12,039,456, 2024 | | 2024 |
| Contextual Squeeze-and-Excitation M Patacchiola, JF Bronskill, A Shysheya, K Hofmann, S Nowozin, ... Sixth Workshop on Meta-Learning at the Conference on Neural Information …, 2022 | | 2022 |
