Publications

2025

Dinc F., Blanco M., Klindt D., Acosta F., Jiang Y., Ebrahimi S., Shai A., Tanaka H., Yuan P., Schnitzer M., Miolane N., Latent computing by biological neural networks: A dynamical systems framework, arxiv. 2025. paper
Dinc F., Cirakman E., Jiang Y., Yuksekgonul M., Schnitzer M., Tanaka H., A ghost mechanism: An analytical model of abrupt learning, arxiv. 2025. paper

Jiang Y.*, Akengin H.*, Aslihak M.*, Miranda C., Pozo M., Hernandez O., Inan H., Dinc F., Schnitzer M., ActSort: An Active-learning Accelerated Cell Sorting Algorithm for Large-Scale Calcium Imaging, In Advances in Neural Information Processing Systems. 2024. paper slides
Jiang Y.*, Sheng K.*, Woo S., Shikano Y., Zhao Y., Zhang C., Linderman S., Schnitzer M., sa-SVAE: a Shared and Aligned Structured Variational Autoencoder for Extracting Behaviorally Relevant and Preserved Neural Dynamics Across Animals, In NeurIPS 2024 Workshop on Symmetry and Geometry in Neural Representations. 2024.
Haputhanthri U., Storan L., Jiang Y., Shai A., Akengin H., Schnitzer M., Dinc F., Tanaka H., Why do recurrent neural networks suddenly learn? Bifurcation mechanisms in neuro-inspired short-term memory tasks, In ICML 2024 Workshop on Mechanistic Interpretability. 2024. paper

Sun J., Jiang Y., Qiu J., Nobel P., Kochenderfer M., Schwager M., Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamic Model, In Advances in Neural Information Processing Systems. 2023. paper