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Aliaksandra Shysheya
Aliaksandra Shysheya
Verified email at cam.ac.uk
Title
Cited by
Cited by
Year
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
6882019
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
1382020
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
1152019
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
202022
Textured neural avatars
AP Shysheya, KA Aliev, RM Bashirov, EA Burkov, KZ Iskakov, ...
US Patent 11,367,239, 2022
112022
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
82022
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
32023
Neural Models for Non-Uniformly Sampled Data
A Shysheya
MA thesis. Department of Engineering, University of Cambridge.(Cited on page …, 2020
12020
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
2024
Denoising Diffusion Probabilistic Models in Six Simple Steps
RE Turner, CD Diaconu, S Markou, A Shysheya, AYK Foong, ...
arXiv preprint arXiv:2402.04384, 2024
2024
Transformer Neural Autoregressive Flows
M Patacchiola, A Shysheya, K Hofmann, RE Turner
arXiv preprint arXiv:2401.01855, 2024
2024
Diffusion-Augmented Neural Processes
L Bonito, J Requeima, A Shysheya, RE Turner
arXiv preprint arXiv:2311.09848, 2023
2023
Electronic device and controlling method thereof
VS Lempitsky, AP Shysheya, EO Zakharov, EA Burkov
US Patent App. 18/102,161, 2023
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
2023
Electronic device and controlling method thereof
VS Lempitsky, AP Shysheya, EO Zakharov, EA Burkov
US Patent 11,568,645, 2023
2023
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
FiT: Parameter Efficient Few-shot Transfer Learning
A Shysheya, JF Bronskill, M Patacchiola, S Nowozin, RE Turner
Sixth Workshop on Meta-Learning at the Conference on Neural Information …, 2022
2022
真实头部说话神经模型的少样本对抗学习
E Zakharov, A Shysheya, E Burkov, V Lempitsky
arXiv preprint arXiv:1905.08233, 2019
2019
Towards A Neural Statistician
V Bourgin, Y Chang, A Shysheya
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Articles 1–19