70 citations · 121 across the 12 of their papers we have counts for
15 papers
Nudgeability: Reasoning Models Follow Confidence Signals Without Tracking Their Own Competence
Rohit Saxena, Utkarsh Upadhyay
Reasoning language models that can call tools must decide during inference whether to answer unaided or delegate. Any self-reflection mechanism for this must answer three questions…
Massive Parallel Deep Reinforcement Learning for Active SLAM
Martín Arce Llobera, Julio A. Placed, Mariano De Paula +1
Recent advances in parallel computing and GPU acceleration have created new opportunities for computation-intensive learning problems such as Active SLAM -- where actions are selec…
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…
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…
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…
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,…
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…
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…
Stochastic Optimal Control of Epidemic Processes in Networks
Lars Lorch, Abir De, Samir Bhatt +3
We approach the development of models and control strategies of susceptible-infected-susceptible (SIS) epidemic processes from the perspective of marked temporal point processes an…
Deep Reinforcement Learning of Marked Temporal Point Processes
Utkarsh Upadhyay, Abir De, Manuel Gomez-Rodriguez
In a wide variety of applications, humans interact with a complex environment by means of asynchronous stochastic discrete events in continuous time. Can we design online intervent…
Steering Social Activity: A Stochastic Optimal Control Point Of View
Ali Zarezade, Abir De, Utkarsh Upadhyay +2
User engagement in online social networking depends critically on the level of social activity in the corresponding platform--the number of online actions, such as posts, shares or…
On the Complexity of Opinions and Online Discussions
Utkarsh Upadhyay, Abir De, Aasish Pappu +1
In an increasingly polarized world, demagogues who reduce complexity down to simple arguments based on emotion are gaining in popularity. Are opinions and online discussions fallin…
Optimizing Human Learning
Behzad Tabibian, Utkarsh Upadhyay, Abir De +3
Spaced repetition is a technique for efficient memorization which uses repeated, spaced review of content to improve long-term retention. Can we find the optimal reviewing schedule…
Uncovering the Dynamics of Crowdlearning and the Value of Knowledge
Utkarsh Upadhyay, Isabel Valera, Manuel Gomez-Rodriguez
Learning from the crowd has become increasingly popular in the Web and social media. There is a wide variety of crowdlearning sites in which, on the one hand, users learn from the…
RedQueen: An Online Algorithm for Smart Broadcasting in Social Networks
Ali Zarezade, Utkarsh Upadhyay, Hamid Rabiee +1
Users in social networks whose posts stay at the top of their followers'{} feeds the longest time are more likely to be noticed. Can we design an online algorithm to help them deci…