Locality and Compositionality in Zero-Shot Learning. - Tristan Sylvain; Linda Petrini; R. Devon Hjelm (ICLR, 2020)

Zero-Shot Learning from scratch (ZFS): leveraging local compositional representations. - Tristan Sylvain; Linda Petrini; R. Devon Hjelm (CoRR, 2020)

gradSim: Differentiable simulation for system identification and visuomotor control. - J. Krishna Murthy 001; Miles Macklin; Florian Golemo; Vikram Voleti; Linda Petrini; Martin Weiss; Breandan Considine; Jérôme Parent-Lévesque; Kevin Xie; Kenny Erleben; Liam Paull; Florian Shkurti; et al. (ICLR, 2021)

Ethics and Creativity in Computer Vision. - Negar Rostamzadeh; Emily Denton; Linda Petrini (CoRR, 2021)

Alignment faking in large language models. - Ryan Greenblatt; Carson Denison; Benjamin Wright; Fabien Roger; Monte MacDiarmid; Samuel Marks; Johannes Treutlein; Tim Belonax; Jack Chen; David Duvenaud; Akbir Khan; Julian Michael; et al. (CoRR, 2024)

Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming. - Mrinank Sharma; Meg Tong; Jesse Mu; Jerry Wei; Jorrit Kruthoff; Scott Goodfriend; Euan Ong; Alwin Peng; Raj Agarwal; Cem Anil; Amanda Askell; Nathan Bailey; et al. (CoRR, 2025)

Unsupervised Elicitation of Language Models. - Jiaxin Wen; Zachary Ankner; Arushi Somani; Peter Hase; Samuel Marks; Jacob Goldman-Wetzler; Linda Petrini; Henry Sleight; Collin Burns; He He 001; Shi Feng 005; Ethan Perez; et al. (CoRR, 2025)

SHADE-Arena: Evaluating Sabotage and Monitoring in LLM Agents. - Jonathan Kutasov; Yuqi Sun; Paul Colognese; Teun van der Weij; Linda Petrini; Chen Bo Calvin Zhang; John Hughes; Xiang Deng; Henry Sleight; Tyler Tracy; Buck Shlegeris; Joe Benton (CoRR, 2025)

Inverse Scaling in Test-Time Compute. - Aryo Pradipta Gema; Alexander Hägele; Runjin Chen; Andy Arditi; Jacob Goldman-Wetzler; Kit Fraser-Taliente; Henry Sleight; Linda Petrini; Julian Michael; Beatrice Alex; Pasquale Minervini; Yanda Chen; et al. (CoRR, 2025)