activity
20182021
collaborators

10 papers

q-bio.SC2021

Dynamics of unfolded protein aggregation

Utkarsh Upadhyay, Chandrima Barua, Shivani Devi +2

Unfolded protein aggregation in cellular system is a problem causing various types of diseases depending on which type unfolded proteins aggregate. This phenomenon of aggregation m…

cs.LG2020

Large-scale randomized experiment reveals machine learning helps people learn and remember more effectively

Utkarsh Upadhyay, Graham Lancashire, Christoph Moser +1

Machine learning has typically focused on developing models and algorithms that would ultimately replace humans at tasks where intelligence is required. In this work, rather than r…

cs.CL2020

Classification of Cuisines from Sequentially Structured Recipes

Tript Sharma, Utkarsh Upadhyay, Ganesh Bagler

Cultures across the world are distinguished by the idiosyncratic patterns in their cuisines. These cuisines are characterized in terms of their substructures such as ingredients, c…

cs.SI2020

Hierarchical Clustering of World Cuisines

Tript Sharma, Utkarsh Upadhyay, Jushaan Kalra +4

Cultures across the world have evolved to have unique patterns despite shared ingredients and cooking techniques. Using data obtained from RecipeDB, an online resource for recipes,…

cs.SI2019

Can A User Anticipate What Her Followers Want?

Abir De, Adish Singla, Utkarsh Upadhyay +1

Whenever a social media user decides to share a story, she is typically pleased to receive likes, comments, shares, or, more generally, feedback from her followers. As a result, sh…

cs.LG2019

Learning to Crawl

Utkarsh Upadhyay, Robert Busa-Fekete, Wojciech Kotlowski +2

Web crawling is the problem of keeping a cache of webpages fresh, i.e., having the most recent copy available when a page is requested. This problem is usually coupled with the nat…