Infinite Ends From Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals.

Zhi-Xuan T, Kang G, Mansinghka V, Tenenbaum JB

DOI: 10.1111/tops.70075
Published: 2026 Jul 23
Container: Topics in cognitive science
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1111/tops.70075,
  title = {Infinite Ends From Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals.},
  author = {Zhi-Xuan T and Kang G and Mansinghka V and Tenenbaum JB},
  year = {2026},
  journal = {Topics in cognitive science},
  doi = {10.1111/tops.70075},
  url = {https://doi.org/10.1111/tops.70075}
}

RIS

TY  - JOUR
TI  - Infinite Ends From Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals.
AU  - Zhi-Xuan T
AU  - Kang G
AU  - Mansinghka V
AU  - Tenenbaum JB
PY  - 2026
JO  - Topics in cognitive science
DO  - 10.1111/tops.70075
UR  - https://doi.org/10.1111/tops.70075
ER  -

APA

T, Z., G, K., V, M., & JB, T. (2026). Infinite Ends From Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals.. Topics in cognitive science. https://doi.org/10.1111/tops.70075

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pubmed · retrieved 2026-09-25T08:56:46.984Z