Jeremy R. Manning

12 papers B 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Stylometric Application of Large Language Models.
CoRR
Harrison F. Stropkay, Jiayi Chen, Mohammad J. Latifi, Daniel N. Rockmore, Jeremy R. Manning
2024 J jnl
Davos: A Python package "smuggler" for constructing lightweight reproducible notebooks.
SoftwareX
Paxton C. Fitzpatrick, Jeremy R. Manning
2023 B conf
Temporal asymmetries in inferring unobserved past and future events.
CogSci
Xinming Xu, Ziyan Zhu, Jeremy R. Manning
2022 J jnl
Identifying stimulus-driven neural activity patterns in multi-patient intracranial recordings.
CoRR
Jeremy R. Manning
2022 J jnl
davos: a Python "smuggler" for constructing lightweight reproducible notebooks.
CoRR
Paxton C. Fitzpatrick, Jeremy R. Manning
2018 J jnl
A probabilistic approach to discovering dynamic full-brain functional connectivity patterns.
NeuroImage
Jeremy R. Manning, Xia Zhu, Theodore L. Willke, Rajesh Ranganath, Kimberly L. Stachenfeld, Uri Hasson, David M. Blei, Kenneth A. Norman
2017 J jnl
HyperTools: a Python Toolbox for Gaining Geometric Insights into High-Dimensional Data.
J. Mach. Learn. Res.
Andrew C. Heusser, Kirsten Ziman, Lucy L. W. Owen, Jeremy R. Manning
2017 J jnl
Quail: A Python toolbox for analyzing and plotting free recall data.
J. Open Source Softw.
Andrew C. Heusser, Paxton C. Fitzpatrick, Campbell E. Field, Kirsten Ziman, Jeremy R. Manning
2016 J jnl
Enabling Factor Analysis on Thousand-Subject Neuroimaging Datasets.
CoRR
Michael J. Anderson, Mihai Capota, Javier S. Turek, Xia Zhu, Theodore L. Willke, Yida Wang, Po-Hsuan Chen, Jeremy R. Manning, Peter J. Ramadge, Kenneth A. Norman
2016 — conf
Enabling factor analysis on thousand-subject neuroimaging datasets.
IEEE BigData
Michael J. Anderson, Mihai Capota, Javier S. Turek, Xia Zhu, Theodore L. Willke, Yida Wang, Po-Hsuan Chen, Jeremy R. Manning, Peter J. Ramadge, Kenneth A. Norman
2014 — conf
Hierarchical topographic factor analysis.
PRNI
Jeremy R. Manning, Rajesh Ranganath, Waitsang Keung, Nicholas B. Turk-Browne, Jonathan D. Cohen, Kenneth A. Norman, David M. Blei
2014 J jnl
Unsupervised Learning of Cone Spectral Classes from Natural Images.
PLoS Comput. Biol.
Noah C. Benson, Jeremy R. Manning, David H. Brainard