Neural Transfer Learning for Cry-Based Diagnosis of Perinatal Asphyxia. - Charles C. Onu; Jonathan Lebensold; William L. Hamilton; Doina Precup (INTERSPEECH, 2019)

Actor Critic with Differentially Private Critic. - Jonathan Lebensold; William L. Hamilton; Borja Balle; Doina Precup (CoRR, 2019)

Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims. - Miles Brundage; Shahar Avin; Jasmine Wang; Haydn Belfield; Gretchen Krueger; Gillian K. Hadfield; Heidy Khlaaf; Jingying Yang; Helen Toner; Ruth Fong; Tegan Maharaj; Pang Wei Koh; et al. (CoRR, 2020)

Filling gaps in trustworthy development of AI. - Shahar Avin; Haydn Belfield; Miles Brundage; Gretchen Krueger; Jasmine Wang; Adrian Weller; Markus Anderljung; Igor Krawczuk; David Krueger 001; Jonathan Lebensold; Tegan Maharaj; Noa Zilberman (CoRR, 2021)

On the Privacy of Selection Mechanisms with Gaussian Noise. - Jonathan Lebensold; Doina Precup; Borja Balle (AISTATS, 2024)

DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning. - Jonathan Lebensold; Maziar Sanjabi; Pietro Astolfi; Adriana Romero-Soriano; Kamalika Chaudhuri; Mike Rabbat; Chuan Guo 001 (CoRR, 2024)

An Introduction to Vision-Language Modeling. - Florian Bordes; Richard Yuanzhe Pang; Anurag Ajay; Alexander C. Li; Adrien Bardes; Suzanne Petryk; Oscar Mañas; Zhiqiu Lin; Anas Mahmoud 002; Bargav Jayaraman; Mark Ibrahim; Melissa Hall; et al. (CoRR, 2024)

Mitigating Downstream Model Risks via Model Provenance. - Keyu Wang 001; Abdullah Norozi Iranzad; Scott Schaffter; Doina Precup; Jonathan Lebensold (CoRR, 2024)

Tapered Off-Policy REINFORCE: Stable and efficient reinforcement learning for LLMs. - Nicolas Le Roux; Marc G. Bellemare; Jonathan Lebensold; Arnaud Bergeron; Joshua Greaves; Alexandre Fréchette; Carolyne Pelletier; Eric Thibodeau-Laufer; Sándor Tóth; Sam Work (CoRR, 2025)