Research Software — kscore

Nonparametric Score Estimators for estimating the gradient of the log density function from data samples.

PyTorch reimplementation of code from "Nonparametric Score Estimators" (Yuhao Zhou, Jiaxin Shi, Jun Zhu. https://arxiv.org/abs/2005.10099). See original Tensorflow implementation at https://github.com/miskcoo/kscore (MIT license).

  •  Smedemark-Margulies, N., Wang, Y., Koike-Akino, T., Erdogmus, D., "AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data", International Conference of the IEEE Engineering in Medicine & Biology Society (EMBS), DOI: 10.1109/​EMBC48229.2022.9871649, July 2022.
    BibTeX TR2022-098 PDF Software
    • @inproceedings{Smedemark-Margulies2022jul,
    • author = {Smedemark-Margulies, Niklas and Wang, Ye and Koike-Akino, Toshiaki and Erdogmus, Deniz},
    • title = {AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data},
    • booktitle = {International Conference of the IEEE Engineering in Medicine & Biology Society (EMBS)},
    • year = 2022,
    • month = jul,
    • publisher = {IEEE},
    • doi = {10.1109/EMBC48229.2022.9871649},
    • issn = {2694-0604},
    • isbn = {978-1-7281-2782-8},
    • url = {https://www.merl.com/publications/TR2022-098}
    • }

Access software at https://github.com/merlresearch/kscore.