Shuchen Wu

Shanahan Foundation Fellow

Allen Institute & University of Washington

shuchen (dot) wu (at) alleninstitute (dot) org

About

I am currently a Shanahan Foundation Fellow at the Allen Institute and the University of Washington. Prior to that, I conducted my PhD in Max Planck Institute for Biological Cybernetics, mentored by Eric Schulz, Peter Dayan, and Felix Wichmann. I received my master's degree at the Institute of Neuroinformatics in the University & ETH Zurich, and my bachelor's degree from the University of Rochester.

Contact

shuchen.wu at tuebingen.mpg.de

Publications

Wu, S., Alaniz, S., Schulz, E., & Akata, Z. (2025). Discovering Chunks in Neural Embeddings for Interpretability. arXiv preprint arXiv:2502.01803
Wu, S., Thalmann, M., & Schulz, E. (2025). Two types of motifs enhance human recall and generalization of long sequences. Communications Psychology, 3(1), 3
Wu, S., Thalmann, M., Dayan, P., Akata, Z., & Schulz, E. (2025). Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences. ICLR 2025 Poster
Binz, M., Akata, E., Bethge, M., ... Wu, S., ... Schulz, E. (2024). Centaur: a foundation model of human cognition. arXiv preprint arXiv:2410.20268
Schreiber, A., Wu, S. C., Wu, C. X., Indiveri, G., Schulz, E. (2023). Biologically-plausible hierarchical chunking on mixed-signal neuromorphic hardware. NeurIPS 2023 Workshop on Machine Learning with New Compute Paradigms
Wu, S. C., Élteto, N.,Dasgupta, I., & Schulz, E. (2023). Chunking as a rational solution to the speed–accuracy trade-off in a serial reaction time task. Scientific Reports
Wu, S. C., Élteto, N.,Dasgupta, I., & Schulz, E. (2022). Learning Structure from the Ground-up—Hierarchical Representation Learning by Chunking. 36th Conference on Neural Information Processing Systems (NeurIPS 2022).