Authors: Ernesto Evgeniy Sanches Shayda (esanches@stanford.edu), Ilkyu Lee (lqlee@stanford.edu) I. MOTIVATION Musical instruments have evolved during thousands of years allowing performers to produce almost all…
Authors: Rifath Rashid (rifath@stanford.edu) and Anton de Leon (aadeleon@atanford.edu) 1 Introduction The question of how accurately Twitter posts can model the movement of financial securities…
Authors: Drake Johnson (drakej@stanford.edu), Tim Ngo (ngotm@stanford.edu), Augusto Fernandez (afyrxr@stanford.edu) I. Introduction: Recently, there has been an increase in interest in the public for the…
Authors: Danny Takeuchi (dtakeuch@stanford.edu), Raymond Thai (raythai@stanford.edu), Kevin Tran (ktran23@stanford.edu) This project tackles several current issues with automated chest X-ray radiography, specifically regarding work on…
By Ronny Huang, July 2019 Ronny Huang is a postdoc student at The University of Maryland and researcher in residence at Ernst and Young. His research is…
Reproducing the paper ‘Learning Neural PDE Solvers with Convergence Guarantees’ > Interested in learning more about the Reproducibility Challenge? Read our kick-off piece here For our…
We interview four teams with a mission to reproduce the latest in machine learning research as part of the 2019 ICLR Reproducibility Challenge. Reproducibility is…
Note: this article originally appeared on Oscar Chang’s website at https://crazyoscarchang.github.io/2019/02/16/seven-myths-in-machine-learning-research/ and was reposted here with his permission. We highly encourage you to read the rest of…