Bojan Tunguz

TL;DR: The winning models far outperformed the previous effort at multi-label classification of protein localization patterns by ~20% and can be used as classifiers to annotate new images, feature extractors to measure pattern similarity or pretrained networks for a wide range of biological applications.

TL;DR: PERSIST-seq as discussed by the authors uses RNA sequencing-based platform to systematically delineate in-cell mRNA stability, ribosome load, as well as in-solution stability of a library of diverse mRNAs.

TL;DR: PERSIST-seq as mentioned in this paper is a new RNA sequencing-based platform to systematically delineate in-cell mRNA stability, ribosome load, as well as in-solution stability of a library of diverse mRNAs.

TL;DR: This paper presents the 1st place solution of the RecSys Challenge 2020 which focused on the prediction of user behavior, specifically the interaction with content, on this year’s dataset from competition host Twitter, and achieved the highest score in seven of the eight metrics used to calculate the final leaderboard position.

TL;DR: It is shown that a simple ensemble of black-box optimization algorithms can outperform any single one of them, and a Multi-GPU-optimized framework is proposed to accelerate a brute force search for the optimal ensemble by running many experiments in parallel.