Uncertainty-aware ground-based telescope observation scheduling at ALMA
Published in SPIE Astronomical Telescopes and Instrumentation, 2026
Justin Payan, Noemi Barbagli, Ignacio Toledo, Rodrigo A. Carrasco, Sergio MartÃn, and Nihar B. Shah.
Publications
ML Researchers Support Openness in Peer Review But Are Concerned About Resubmission Bias
Published in Under Submission, 2025
Vishisht Rao, Justin Payan, Andrew McCallum, and Nihar B. Shah.
FLAWS: A Benchmark for Error Identification and Localization in Scientific Papers
Published in Under Submission, 2025
Sarina Xi, Vishisht Rao, Justin Payan, and Nihar B. Shah.
Who You Gonna Call? Optimizing Expert Assignment with Predictive Models
Published in Unpublished, 2024
Justin Payan, Cyrus Cousins, Sheshera Mysore, Neha Nayak Kennard, and Yair Zick.
Fair and Welfare-Efficient Resource Allocation under Uncertainty
Published in Neural Information Processing Systems, 2024
Elita Lobo, Justin Payan, Cyrus Cousins, and Yair Zick.
InstructExcel: A Benchmark for Natural Language Instruction in Excel
Published in Findings of The 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Justin Payan, Swaroop Mishra, Mukul Singh, Carina Negreanu, Christian Poelitz, Chitta Baral, Subhro Roy, Rasika Chakravarthy, Benjamin Van Durme, and Elnaz Nouri.
Into the Unknown: Assigning Reviewers to Papers with Uncertain Affinities
Published in Symposium of Algorithmic Game Theory 2023 (SAGT), 2023
Justin Payan, Cyrus Cousins, and Yair Zick.
Graphical House Allocation
Published in Autonomous Agents and Multiagent Systems 2023 (AAMAS), 2023
Hadi Hosseini, Justin Payan, Rik Sengupta, Rohit Vaish, and Vignesh Viswanathan.
Relaxations of Envy-Freeness over Graphs
Published in Autonomous Agents and Multiagent Systems 2023 (AAMAS), 2023
Justin Payan, Rik Sengupta, and Vignesh Viswanathan.
I Will Have Order! Optimizing Orders for Fair Reviewer Assignment
Published in International Joint Conference on Artificial Intelligence (IJCAI), 2022
Justin Payan and Yair Zick.
Towards Realistic Single-Task Continuous Learning Research for NER
Published in Findings of The 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Justin Payan, Yuval Merhav, He Xie, Satyapriya Krishna, Anil Ramakrishna, Mukund Sridhar and Rahul Gupta.
Online Post-Processing In Rankings For Fair Utility Maximization
Published in International Conference on Web Search and Data Mining (WSDM), 2021
Ananya Gupta (equal contribution), Eric Johnson (equal contribution), Justin Payan, Aditya Roy, Ari Kobren, Swetasudha Panda, Michael Wick, and Jean-Baptiste Tristan.
Document Representations Using Fine-Grained Topics
Published in Sets & Partitions Workshop at NeurIPS 2019, 2019
Justin Payan, Nicholas Monath, and Andrew McCallum.
Artificial Neural Network Based Water Network State Estimation Tool for Bangalore Inflow System
Published in International Symposium on Lowland Technology, 2016
Anjana G. Rajakumar, K.R. Sheetal Kumar, Justin Payan, and M.S. Mohan Kumar.