Publications

Definitions, methods, and applications in interpretable machine learning

W. James Murdoch, Chandan Singh, Karl Kumbier, Reza Abbasi-Asl, and Bin Yu
PNAS (Proceedings of the National Academy of Sciences of the United States of America)
October 16, 2019

Rapid Gamma-Ray Burst Localization aboard the e-Astrogam Satellite using a 3D Convolutional Neural Network

Ruoxi Shang, Andreas Zoglauer
BayLearn: Bay Area Machine Learning Symposium
October 16, 2019

ORES: Lowering Barriers with Participatory Machine Learning in Wikipedia

Aaron Halfaker, R. Stuart Geiger
arXiv.org
September 11, 2019

2018-2019 BIDS Annual Report

David Mongeau and Marsha Fenner
BIDS
August 22, 2019

The representation of semantic information across human cerebral cortex during listening versus reading is invariant to stimulus modality

Fatma Deniz, Anwar O. Nunez-Elizalde, Alexander G. Huth and Jack L. Gallant
Journal of Neuroscience
August 19, 2019

Human Health and the Social Cost of Carbon: A Primer and Call to Action

Noah Scovronick, Valeri N. Vasquez, Frank Errickson, Francis Dennig, Antonio Gasparrini, Shakoor Hajat, Dean Spears, Mark B. Budolfson
Epidemiology
August 15, 2019

Transparent and Reproducible Social Science Research: How to Do Open Science

Garret Christensen, Jeremy Freese, and Edward Miguel
University of California Press
July 23, 2019

Multivariate GWAS: Generalized Linear Models, Prior Weights, and Double Sparsity

Benjamin B. Chu, Kevin L. Keys, Janet S. Sinsheimer, Kenneth Lange
bioRxiv
July 11, 2019

Computing water flow through complex landscapes, Part 2: Finding hierarchies in depressions and morphological segmentations

Richard Barnes, Kerry L. Callaghan, and Andrew D. Wickert
Earth Surface Dynamics
June 17, 2019

Pages