Polina Turishcheva

According to our database, Polina Turishcheva authored at least 9 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens.

Konstantin F. Willeke, Polina Turishcheva, Alex Gilbert, Goirik Chakrabarty, Hasan A. Bedel, Paul G. Fahey, Yongrong Qiu, Marissa A. Weis, Michaela Vystrcilová, Taliah Muhammad, Lydia Ntanavara, Rachel Froebe, Kayla Ponder, Zheng Huan Tan, Emin Orhan, Erick Cobos, Sophia Sanborn, Katrin Franke, Fabian H. Sinz, Alexander S. Ecker, Andreas S. Tolias

CoRR, April, 2026

2025

A Circular Argument : Does RoPE need to be Equivariant for Vision?

Chase van de Geijn, Timo Lüddecke, Polina Turishcheva, Alexander S. Ecker

CoRR, November, 2025

Hierarchical clustering with maximum density paths and mixture models.

Martin Ritzert, Polina Turishcheva, Laura Hansel, Paul Wollenhaupt, Marissa A. Weis, Alexander S. Ecker

CoRR, March, 2025

Learning to cluster neuronal function.

Nina Nellen, Polina Turishcheva, Michaela Vystrcilová, Shashwat Sridhar, Tim Gollisch, Andreas S. Tolias, Alexander S. Ecker

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Modeling dynamic neural activity by combining naturalistic video stimuli and stimulus-independent latent factors.

Finn Schmidt, Suhas Shrinivasan, Polina Turishcheva, Fabian H. Sinz

CoRR, 2024

MNIST-Nd: a set of naturalistic datasets to benchmark clustering across dimensions.

Polina Turishcheva, Laura Hansel, Martin Ritzert, Marissa A. Weis, Alexander S. Ecker

CoRR, 2024

Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos.

Polina Turishcheva, Paul G. Fahey, Michaela Vystrcilová, Laura Hansel, Rachel Froebe, Kayla Ponder, Yongrong Qiu, Konstantin Willeke, Mohammad Bashiri, Ruslan Baikulov, Yu Zhu, Lei Ma, Shan Yu, Tiejun Huang, Bryan Li, Wolf De Wulf, Nina Kudryashova, Matthias H. Hennig, Nathalie Rochefort, Arno Onken, Eric Y. Wang, Zhiwei Ding, Andreas S. Tolias, Fabian H. Sinz, Alexander S. Ecker

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Reproducibility of predictive networks for mouse visual cortex.

Polina Turishcheva, Max F. Burg, Fabian H. Sinz, Alexander S. Ecker

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Bootstrap Your Own Variance.

Polina Turishcheva, Jason Ramapuram, Sinead Williamson, Dan Busbridge, Eeshan Gunesh Dhekane, Russ Webb

CoRR, 2023