Textured Neural Avatars. - Aliaksandra Shysheya; Egor Zakharov; Kara-Ali Aliev; Renat Bashirov; Egor Burkov; Karim Iskakov; Aleksei Ivakhnenko; Yury Malkov; Igor Pasechnik; Dmitry Ulyanov; Alexander Vakhitov; Victor S. Lempitsky (CVPR, 2019)

Few-Shot Adversarial Learning of Realistic Neural Talking Head Models. - Egor Zakharov; Aliaksandra Shysheya; Egor Burkov; Victor S. Lempitsky (ICCV, 2019)

Fast Bi-Layer Neural Synthesis of One-Shot Realistic Head Avatars. - Egor Zakharov; Aleksei Ivakhnenko; Aliaksandra Shysheya; Victor S. Lempitsky (ECCV (12), 2020)

Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification. - Massimiliano Patacchiola; John Bronskill; Aliaksandra Shysheya; Katja Hofmann; Sebastian Nowozin; Richard E. Turner (NeurIPS, 2022)

FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification. - Aliaksandra Shysheya; John Bronskill; Massimiliano Patacchiola; Sebastian Nowozin; Richard E. Turner (ICLR, 2023)

Diffusion-Augmented Neural Processes. - Lorenzo Bonito; James Requeima; Aliaksandra Shysheya; Richard E. Turner (CoRR, 2023)

On the Efficacy of Differentially Private Few-shot Image Classification. - Marlon Tobaben; Aliaksandra Shysheya; John Bronskill; Andrew Paverd; Shruti Tople; Santiago Zanella-Béguelin; Richard E. Turner; Antti Honkela (Trans. Mach. Learn. Res., 2023)

On conditional diffusion models for PDE simulations. - Aliaksandra Shysheya; Cristiana Diaconu; Federico Bergamin; Paris Perdikaris; José Miguel Hernández-Lobato; Richard E. Turner; Emile Mathieu (NeurIPS, 2024)

Transformer Neural Autoregressive Flows. - Massimiliano Patacchiola; Aliaksandra Shysheya; Katja Hofmann; Richard E. Turner (CoRR, 2024)

Denoising Diffusion Probabilistic Models in Six Simple Steps. - Richard E. Turner; Cristiana-Diana Diaconu; Stratis Markou; Aliaksandra Shysheya; Andrew Y. K. Foong; Bruno Mlodozeniec (CoRR, 2024)

JoLT: Joint Probabilistic Predictions on Tabular Data Using LLMs. - Aliaksandra Shysheya; John Bronskill; James Requeima; Shoaib Ahmed Siddiqui; Javier González 002; David Duvenaud; Richard E. Turner (CoRR, 2025)

A generative model for inorganic materials design. - Claudio Zeni; Robert Pinsler; Daniel Zügner; Andrew Fowler; Matthew Horton; Xiang Fu 005; Zilong Wang; Aliaksandra Shysheya; Jonathan Crabbé; Shoko Ueda; Roberto Sordillo; Lixin Sun; et al. (Nat., 2025)