Top-Down vs. Bottom-Up Model-Based Methodologies for Distributed Control: A Comparative Experimental Study. - Grégory Mermoud; Utkarsh Upadhyay; William C. Evans; Alcherio Martinoli (ISER, 2010)

A Parallel Algorithm for Solving Large Convex Minimax Problems. - Ramnik Arora; Utkarsh Upadhyay; Rupesh Tulshyan; Joydeep Dutta (SEAL, 2010)

MPTCP is not pareto-optimal: performance issues and a possible solution. - Ramin Khalili; Nicolas Gast; Miroslav Popovic; Utkarsh Upadhyay; Jean-Yves Le Boudec (CoNEXT, 2012)

Real-time automated modeling and control of self-assembling systems. - Grégory Mermoud; Massimo Mastrangeli; Utkarsh Upadhyay; Alcherio Martinoli (ICRA, 2012)

Recurrent Marked Temporal Point Processes: Embedding Event History to Vector. - Nan Du 002; Hanjun Dai; Rakshit Trivedi; Utkarsh Upadhyay; Manuel Gomez-Rodriguez; Le Song (KDD, 2016)

A Broad View of the Ecosystem of Socially Engineered Exploit Documents. - Stevens Le Blond; Cédric Gilbert; Utkarsh Upadhyay; Manuel Gomez-Rodriguez; David R. Choffnes (NDSS, 2017)

Uncovering the Dynamics of Crowdlearning and the Value of Knowledge. - Utkarsh Upadhyay; Isabel Valera; Manuel Gomez-Rodriguez (WSDM, 2017)

RedQueen: An Online Algorithm for Smart Broadcasting in Social Networks. - Ali Zarezade; Utkarsh Upadhyay; Hamid R. Rabiee; Manuel Gomez-Rodriguez (WSDM, 2017)

Optimizing Human Learning. - Behzad Tabibian; Utkarsh Upadhyay; Abir De; Ali Zarezade; Bernhard Schölkopf; Manuel Gomez-Rodriguez (CoRR, 2017)

Steering Social Activity: A Stochastic Optimal Control Point Of View. - Ali Zarezade; Abir De; Utkarsh Upadhyay; Hamid R. Rabiee; Manuel Gomez-Rodriguez (J. Mach. Learn. Res., 2017)

Deep Reinforcement Learning of Marked Temporal Point Processes. - Utkarsh Upadhyay; Abir De; Manuel Gomez Rodriguez (NeurIPS, 2018)

Stochastic Optimal Control of Epidemic Processes in Networks. - Lars Lorch; Abir De; Samir Bhatt; William Trouleau; Utkarsh Upadhyay; Manuel Gomez-Rodriguez (CoRR, 2018)

On the Complexity of Opinions and Online Discussions. - Utkarsh Upadhyay; Abir De; Aasish Pappu; Manuel Gomez-Rodriguez (WSDM, 2019)

Can A User Anticipate What Her Followers Want? - Abir De; Adish Singla; Utkarsh Upadhyay; Manuel Gomez-Rodriguez (CoRR, 2019)

Learning to Crawl. - Utkarsh Upadhyay; Róbert Busa-Fekete; Wojciech Kotlowski; Dávid Pál; Balázs Szörényi (AAAI, 2020)

Classification of Cuisines from Sequentially Structured Recipes. - Tript Sharma; Utkarsh Upadhyay; Ganesh Bagler (ICDE Workshops, 2020)

Hierarchical Clustering of World Cuisines. - Tript Sharma; Utkarsh Upadhyay; Jushaan Singh Kalra; Sakshi Arora; Saad Ahmad; Bhavay Aggarwal; Ganesh Bagler (ICDE Workshops, 2020)

Can A User Guess What Her Followers Want? - Abir De; Adish Singla; Utkarsh Upadhyay; Manuel Gomez-Rodriguez (WSDM, 2020)

RecipeDB: a resource for exploring recipes. - Devansh Batra; Nirav Diwan; Utkarsh Upadhyay; Jushaan Singh Kalra; Tript Sharma; Aman Kumar Sharma; Dheeraj Khanna; Jaspreet Singh Marwah; Srilakshmi Kalathil; Navjot Singh; Rudraksh Tuwani; Ganesh Bagler (Database J. Biol. Databases Curation, 2020)

Large-scale randomized experiment reveals machine learning helps people learn and remember more effectively. - Utkarsh Upadhyay; Graham Lancashire; Christoph Moser; Manuel Gomez-Rodriguez (CoRR, 2020)

Models and Methods for Dissemination of Information and Knowledge Online. - Utkarsh Upadhyay (2021)

Access, Excellence and Scale in India's National Programme for Technology-Enabled Learning (NPTEL): Identifying the Hidden Gaps. - Philip Rachel; Utkarsh Upadhyay (TALE, 2023)