Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps
2021 · Nature Communications · 108 citations
https://doi.org/10.1038/s41467-021-22559-5
M
Miguel Lázaro-Gredilla
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Miguel Lázaro-Gredilla is an academic researcher from Google DeepMind (United Kingdom). The author has contributed to research in topics: Gaussian Processes and Bayesian Inference & Neural Networks and Applications & Bayesian Modeling and Causal Inference. The author has an h-index of 20, co-authored 77 publications.
ORCID: 0000-0002-4528-5084Papers by this author
worksA performance study of different soft-computing procedures for automatic detection of breast cancer malignancy
2005 · Breast Cancer Research · 0 citations
https://doi.org/10.1186/bcr1243
What type of inference is planning?
2024 · arXiv (Cornell University) · 0 citations
https://doi.org/10.48550/arxiv.2406.17863
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