Aliaksandra Shysheya

19 papers A* 5Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A generative model for inorganic materials design. Nat. Claudio Zeni, Robert Pinsler, Daniel Zügner, Andrew Fowler, Matthew Horton, Xiang Fu, Zilong Wang, Aliaksandra Shysheya, Jonathan Crabbé, Shoko Ueda, Roberto Sordillo, Lixin Sun, Jake Smith, Bichlien Nguyen, Hannes Schulz, Sarah Lewis, Chin-Wei Huang, Ziheng Lu, Yichi Zhou, Han Yang, Hongxia Hao, Jielan Li, Chunlei Yang, Wenjie Li, Ryota Tomioka, Tian Xie
2025	J	`jnl`	JoLT: Joint Probabilistic Predictions on Tabular Data Using LLMs. CoRR Aliaksandra Shysheya, John Bronskill, James Requeima, Shoaib Ahmed Siddiqui, Javier González, David Duvenaud, Richard E. Turner
2024	J	`jnl`	Denoising Diffusion Probabilistic Models in Six Simple Steps. CoRR Richard E. Turner, Cristiana-Diana Diaconu, Stratis Markou, Aliaksandra Shysheya, Andrew Y. K. Foong, Bruno Mlodozeniec
2024	A*	`conf`	On conditional diffusion models for PDE simulations. NeurIPS Aliaksandra Shysheya, Cristiana Diaconu, Federico Bergamin, Paris Perdikaris, José Miguel Hernández-Lobato, Richard E. Turner, Emile Mathieu
2024	J	`jnl`	On conditional diffusion models for PDE simulations. CoRR Aliaksandra Shysheya, Cristiana Diaconu, Federico Bergamin, Paris Perdikaris, José Miguel Hernández-Lobato, Richard E. Turner, Emile Mathieu
2024	J	`jnl`	Transformer Neural Autoregressive Flows. CoRR Massimiliano Patacchiola, Aliaksandra Shysheya, Katja Hofmann, Richard E. Turner
2023	J	`jnl`	Diffusion-Augmented Neural Processes. CoRR Lorenzo Bonito, James Requeima, Aliaksandra Shysheya, Richard E. Turner
2023	A*	`conf`	FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification. ICLR Aliaksandra Shysheya, John Bronskill, Massimiliano Patacchiola, Sebastian Nowozin, Richard E. Turner
2023	J	`jnl`	On the Efficacy of Differentially Private Few-shot Image Classification. CoRR Marlon Tobaben, Aliaksandra Shysheya, John Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella-Béguelin, Richard E. Turner, Antti Honkela
2023	J	`jnl`	On the Efficacy of Differentially Private Few-shot Image Classification. Trans. Mach. Learn. Res. Marlon Tobaben, Aliaksandra Shysheya, John Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella-Béguelin, Richard E. Turner, Antti Honkela
2022	A*	`conf`	Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification. NeurIPS Massimiliano Patacchiola, John Bronskill, Aliaksandra Shysheya, Katja Hofmann, Sebastian Nowozin, Richard E. Turner
2022	J	`jnl`	Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification. CoRR Massimiliano Patacchiola, John Bronskill, Aliaksandra Shysheya, Katja Hofmann, Sebastian Nowozin, Richard E. Turner
2022	J	`jnl`	FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification. CoRR Aliaksandra Shysheya, John Bronskill, Massimiliano Patacchiola, Sebastian Nowozin, Richard E. Turner
2020	—	`conf`	Fast Bi-Layer Neural Synthesis of One-Shot Realistic Head Avatars. ECCV (12) Egor Zakharov, Aleksei Ivakhnenko, Aliaksandra Shysheya, Victor S. Lempitsky
2020	J	`jnl`	Fast Bi-layer Neural Synthesis of One-Shot Realistic Head Avatars. CoRR Egor Zakharov, Aleksei Ivakhnenko, Aliaksandra Shysheya, Victor S. Lempitsky
2019	A*	`conf`	Few-Shot Adversarial Learning of Realistic Neural Talking Head Models. ICCV Egor Zakharov, Aliaksandra Shysheya, Egor Burkov, Victor S. Lempitsky
2019	J	`jnl`	Few-Shot Adversarial Learning of Realistic Neural Talking Head Models. CoRR Egor Zakharov, Aliaksandra Shysheya, Egor Burkov, Victor S. Lempitsky
2019	A*	`conf`	Textured Neural Avatars. CVPR 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
2019	J	`jnl`	Textured Neural Avatars. CoRR 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