Examining Tumor Phylogeny Inference in Noisy Sequencing Data. - Kiran Tomlinson; Layla Oesper (BIBM, 2018)

Summarizing Diverging String Sequences, with Applications to Chain-Letter Petitions. - Patty Commins; David Liben-Nowell; Tina Liu; Kiran Tomlinson (CPM, 2020)

Choice Set Optimization Under Discrete Choice Models of Group Decisions. - Kiran Tomlinson; Austin R. Benson (ICML, 2020)

Distance measures for tumor evolutionary trees. - Zach Dinardo; Kiran Tomlinson; Anna M. Ritz; Layla Oesper (Bioinform., 2020)

Learning Interpretable Feature Context Effects in Discrete Choice. - Kiran Tomlinson; Austin R. Benson (KDD, 2021)

Choice Set Confounding in Discrete Choice. - Kiran Tomlinson; Johan Ugander; Austin R. Benson (KDD, 2021)

Ballot Length in Instant Runoff Voting. - Kiran Tomlinson; Johan Ugander; Jon M. Kleinberg (AAAI, 2023)

Workplace Recommendation with Temporal Network Objectives. - Kiran Tomlinson; Jennifer Neville; Longqi Yang; Mengting Wan; Cao Lu (KDD, 2023)

Moderation in instant runoff voting. - Kiran Tomlinson; Johan Ugander; Jon M. Kleinberg (CoRR, 2023)

Targeted Training for Multi-organization Recommendation. - Kiran Tomlinson; Mengting Wan; Cao Lu; Brent J. Hecht; Jaime Teevan; Longqi Yang (Trans. Recomm. Syst., 2023)

The Moderating Effect of Instant Runoff Voting. - Kiran Tomlinson; Johan Ugander; Jon M. Kleinberg (AAAI, 2024)

Bounding Consideration Probabilities in Consider-Then-Choose Ranking Models. - Ben Aoki-Sherwood; Catherine Bregou; David Liben-Nowell; Kiran Tomlinson; Thomas Zeng 003 (AAMAS, 2024)

Graph-based methods for discrete choice. - Kiran Tomlinson; Austin R. Benson (Netw. Sci., 2024)

Replicating Electoral Success. - Kiran Tomlinson; Tanvi Namjoshi; Johan Ugander; Jon M. Kleinberg (AAAI, 2025)

When the Universe is Too Big: Bounding Consideration Probabilities for Plackett-Luce Rankings. - Ben Aoki-Sherwood; Catherine Bregou; David Liben-Nowell; Kiran Tomlinson; Thomas Zeng 003 (AISTATS, 2025)

Exclusion Zones of Instant Runoff Voting. - Kiran Tomlinson; Johan Ugander; Jon M. Kleinberg (CoRR, 2025)

Lost in Transmission: When and Why LLMs Fail to Reason Globally. - Tobias Schnabel; Kiran Tomlinson; Adith Swaminathan; Jennifer Neville (CoRR, 2025)

Working with AI: Measuring the Occupational Implications of Generative AI. - Kiran Tomlinson; Sonia Jaffe; Will Wang; Scott Counts; Siddharth Suri (CoRR, 2025)