no code implementations • 7 Nov 2021 • Utkarsh Upadhyay, Chandrima Barua, Shivani Devi, Jay Prakash Kumar, R. K. Brojen Singh
Unfolded protein aggregation in cellular system is a problem causing various types of diseases depending on which type unfolded proteins aggregate.
1 code implementation • 9 Oct 2020 • Utkarsh Upadhyay, Graham Lancashire, Christoph Moser, Manuel Gomez-Rodriguez
Our randomized controlled trial also reveals that the learners whose study sessions are optimized using machine learning are $\sim$50% more likely to return to the app within 4-7 days.
no code implementations • 26 Apr 2020 • Tript Sharma, Utkarsh Upadhyay, Ganesh Bagler
These cuisines are characterized in terms of their substructures such as ingredients, cooking processes and utensils.
no code implementations • 1 Sep 2019 • Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez-Rodriguez
As a result, she may feel compelled to use the feedback she receives to (re-)estimate her followers' preferences and decides which stories to share next to receive more (positive) feedback.
no code implementations • 29 May 2019 • Utkarsh Upadhyay, Robert Busa-Fekete, Wojciech Kotlowski, David Pal, Balazs Szorenyi
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.
1 code implementation • Proceedings of the National Academy of Sciences (PNAS) 2019 • Behzad Tabibian, Utkarsh Upadhyay, Abir De, Ali Zarezade, Bernhard Schölkopf, Manuel Gomez-Rodriguez
Spaced repetition is a technique for efficient memorization which uses repeated review of content following a schedule determined by a spaced repetition algorithm to improve long-term retention.
no code implementations • 30 Oct 2018 • Lars Lorch, Abir De, Samir Bhatt, William Trouleau, Utkarsh Upadhyay, Manuel Gomez-Rodriguez
We approach the development of models and control strategies of susceptible-infected-susceptible (SIS) epidemic processes from the perspective of marked temporal point processes and stochastic optimal control of stochastic differential equations (SDEs) with jumps.
1 code implementation • NeurIPS 2018 • Utkarsh Upadhyay, Abir De, Manuel Gomez-Rodriguez
In this paper, we address the above problem from the perspective of deep reinforcement learning of marked temporal point processes, where both the actions taken by an agent and the feedback it receives from the environment are asynchronous stochastic discrete events characterized using marked temporal point processes.
1 code implementation • 19 Feb 2018 • Utkarsh Upadhyay, Abir De, Aasish Pappu, Manuel Gomez-Rodriguez
Sports, and the Newsroom app suggest that unidimensional opinion models may often be unable to accurately represent online discussions, provide insights into human judgements and opinions, and show that our framework is able to circumvent language nuances such as sarcasm or humor by relying on human judgements instead of textual analysis.
no code implementations • 19 Feb 2018 • Ali Zarezade, Abir De, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez
At a network level, they may increase activity by incentivizing a few influential users to take more actions, which in turn will trigger additional actions by other users.
no code implementations • 5 Dec 2017 • Behzad Tabibian, Utkarsh Upadhyay, Abir De, Ali Zarezade, Bernhard Schoelkopf, Manuel Gomez-Rodriguez
Can we find the optimal reviewing schedule to maximize the benefits of spaced repetition?
no code implementations • 14 Dec 2016 • Utkarsh Upadhyay, Isabel Valera, Manuel Gomez-Rodriguez
In this paper, we present a probabilistic modeling framework of crowdlearning, which uncovers the evolution of a user's expertise over time by leveraging other users' assessments of her contributions.
1 code implementation • 18 Oct 2016 • Ali Zarezade, Utkarsh Upadhyay, Hamid Rabiee, Manuel Gomez Rodriguez
Users in social networks whose posts stay at the top of their followers'{} feeds the longest time are more likely to be noticed.