Unikernels as Processes. - Dan Williams 001; Ricardo Koller; Martin Lucina; Nikhil Prakash (SoCC, 2018)

A Grid-based Model for Generating Scale-Free Networks. - Amit Kumar Verma; Nikhil Prakash (COMSNETS, 2019)

CVIN: Connected Vehicle Information Network. - Nikhil Prakash; David G. Michelson; Chen Feng (VTC Spring, 2020)

Conceptualization and Framework of Hybrid Intelligence Systems. - Nikhil Prakash; Kory W. Mathewson (CoRR, 2020)

Mapping Landslides on EO Data: Performance of Deep Learning Models vs. Traditional Machine Learning Models. - Nikhil Prakash; Andrea Manconi; Simon Loew (Remote. Sens., 2020)

Rapid Mapping of Landslides Triggered by the Storm Alex, October 2020. - Nikhil Prakash; Andrea Manconi (IGARSS, 2021)

Supporting Requesters in Writing Clear Crowdsourcing Task Descriptions Through Computational Flaw Assessment. - Zahra Nouri; Nikhil Prakash; Ujwal Gadiraju; Henning Wachsmuth (IUI, 2023)

Discovering Variable Binding Circuitry with Desiderata. - Xander Davies; Max Nadeau; Nikhil Prakash; Tamar Rott Shaham; David Bau (CoRR, 2023)

Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking. - Nikhil Prakash; Tamar Rott Shaham; Tal Haklay; Yonatan Belinkov; David Bau (ICLR, 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)

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)

MIB: A Mechanistic Interpretability Benchmark. - Aaron Mueller; Atticus Geiger; Sarah Wiegreffe; Dana Arad; Iván Arcuschin; Adam Belfki; Yik Siu Chan; Jaden Fiotto-Kaufman; Tal Haklay; Michael Hanna 001; Jing Huang; Rohan Gupta; et al. (CoRR, 2025)

Language Models use Lookbacks to Track Beliefs. - Nikhil Prakash; Natalie Shapira; Arnab Sen Sharma; Christoph Riedl; Yonatan Belinkov; Tamar Rott Shaham; David Bau; Atticus Geiger (CoRR, 2025)