Effectiveness of Association Rules Mining for Invariants Generation in Cyber-Physical Systems. - Koyena Pal; Sridhar Adepu; Jonathan Goh (HASE, 2017)

Future Lens: Anticipating Subsequent Tokens from a Single Hidden State. - Koyena Pal; Jiuding Sun; Andrew Yuan; Byron C. Wallace; David Bau (CoNLL, 2023)

Neural Summarization of Electronic Health Records. - Koyena Pal; Seyed Ali Bahrainian; Laura Mercurio; Carsten Eickhoff (CoRR, 2023)

Generative Benchmark Creation for Table Union Search. - Koyena Pal; Aamod Khatiwada; Roee Shraga; Renée J. Miller (CoRR, 2023)

ALT-GEN: Benchmarking Table Union Search using Large Language Models. - Koyena Pal; Aamod Khatiwada; Roee Shraga; Renée J. Miller (VLDB Workshops, 2024)

NNsight and NDIF: Democratizing Access to Foundation Model Internals. - Jaden Fiotto-Kaufman; Alexander R. Loftus; Eric Todd; Jannik Brinkmann; Caden Juang; Koyena Pal; Can Rager; Aaron Mueller; Samuel Marks; Arnab Sen Sharma; Francesca Lucchetti; Michael Ripa; et al. (CoRR, 2024)

The Quest for the Right Mediator: A History, Survey, and Theoretical Grounding of Causal Interpretability. - Aaron Mueller; Jannik Brinkmann; Millicent L. Li; Samuel Marks; Koyena Pal; Nikhil Prakash; Can Rager; Aruna Sankaranarayanan; Arnab Sen Sharma; Jiuding Sun; Eric Todd; David Bau; et al. (CoRR, 2024)

Model Lakes. - Koyena Pal; David Bau; Renée J. Miller (EDBT, 2025)

NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals. - Jaden Fried Fiotto-Kaufman; Alexander Russell Loftus; Eric Todd; Jannik Brinkmann; Koyena Pal; Dmitrii Troitskii; Michael Ripa; Adam Belfki; Can Rager; Caden Juang; Aaron Mueller; Samuel Marks; et al. (ICLR, 2025)