Publikationen von S Wu
Alle Typen
Zeitschriftenartikel (1)
1.
Zeitschriftenartikel
13, 7680 (2023)
Chunking as a rational solution to the speed-accuracy trade-off in a serial reaction time task. Scientific Reports Konferenzbeitrag (4)
2.
Konferenzbeitrag
Biologically-plausible hierarchical chunking on mixed-signal neuromorphic hardware. In: NeurIPS 2023 Workshop: Machine Learning with New Compute Paradigms. NeurIPS 2023 Workshop: Machine Learning with New Compute Paradigms, New Orleans, LA, USA, 16. Dezember 2023. (2023)
3.
Konferenzbeitrag
Projectional motifs facilitate sequence memorization and transfer. In: 2023 Conference on Cognitive Computational Neuroscience, P-3.118, S. 1294 - 1296. Conference on Cognitive Computational Neuroscience (CCN 2023), Oxford, UK, 24. August 2023 - 27. August 2023. (2023)
4.
Konferenzbeitrag
Learning Structure from the Ground up: Hierarchical Representation Learning by Chunking. In: Advances in Neural Information Processing Systems 35: 36th Conference on Neural Information Processing Systems (NeurIPS 2022), S. 36706 - 36721 (Hg. Koyejo, S.; Mohamed, S.). Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA, 28. November 2022 - 09. Dezember 2022. Curran, Red Hook, NY, USA (2023)
5.
Konferenzbeitrag
Learning Structure from the Ground up: Hierarchical Representation Learning by Chunking. In: Tenth International Conference on Learning Representations (ICLR 2022). Tenth International Conference on Learning Representations (ICLR 2022), 25. April 2022 - 29. April 2022. (2022)
Poster (2)
6.
Poster
Normalized Cuts Characterize Visual Recognition Difficulty of Amorphous Image Sub-parts. Computational and Systems Neuroscience Meeting (COSYNE 2024), Lisboa, Portugal (2024)
7.
Poster
Chunking as a rational solution to the speed-accuracy trade-off in a serial reaction time task. 43rd Annual Conference of the Cognitive Science Society (CogSci 2021), Wien, Austria (2021)
Preprint (1)
8.
Preprint
Motif Learning Facilitates Sequence Memorization and Generalization. (eingereicht)