Jonathan Lebensold

12 papers A 2Journal 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CUBE: A Standard for Unifying Agent Benchmarks. CoRR Alexandre Lacoste, Nicolas Gontier, Oleh Shliazhko, Aman Jaiswal, Kusha Sareen, Shailesh Nanisetty, Joan Cabezas, Manuel Del Verme, Omar G. Younis, Simone Baratta, Matteo Avalle, Imene Kerboua, Xing Han Lù, Elron Bandel, Michal Shmueli-Scheuer, Asaf Yehudai, Leshem Choshen, Jonathan Lebensold, Sean Hughes, Massimo Caccia, Alexandre Drouin, Siva Reddy, Tao Yu, Yu Su, Graham Neubig, Dawn Song
2025	J	`jnl`	Tapered Off-Policy REINFORCE: Stable and efficient reinforcement learning for LLMs. CoRR Nicolas Le Roux, Marc G. Bellemare, Jonathan Lebensold, Arnaud Bergeron, Joshua Greaves, Alexandre Fréchette, Carolyne Pelletier, Eric Thibodeau-Laufer, Sándor Tóth, Sam Work
2024	J	`jnl`	An Introduction to Vision-Language Modeling. CoRR Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay, Alexander C. Li, Adrien Bardes, Suzanne Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Xiaoqing Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra
2024	J	`jnl`	DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning. CoRR Jonathan Lebensold, Maziar Sanjabi, Pietro Astolfi, Adriana Romero-Soriano, Kamalika Chaudhuri, Mike Rabbat, Chuan Guo
2024	J	`jnl`	Mitigating Downstream Model Risks via Model Provenance. CoRR Keyu Wang, Abdullah Norozi Iranzad, Scott Schaffter, Doina Precup, Jonathan Lebensold
2024	A	`conf`	On the Privacy of Selection Mechanisms with Gaussian Noise. AISTATS Jonathan Lebensold, Doina Precup, Borja Balle
2024	J	`jnl`	On the Privacy of Selection Mechanisms with Gaussian Noise. CoRR Jonathan Lebensold, Doina Precup, Borja Balle
2021	J	`jnl`	Filling gaps in trustworthy development of AI. CoRR Shahar Avin, Haydn Belfield, Miles Brundage, Gretchen Krueger, Jasmine Wang, Adrian Weller, Markus Anderljung, Igor Krawczuk, David Krueger, Jonathan Lebensold, Tegan Maharaj, Noa Zilberman
2020	J	`jnl`	Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims. CoRR 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, Sara Hooker, Jade Leung, Andrew Trask, Emma Bluemke, Jonathan Lebensold, Cullen O'Keefe, Mark Koren, Théo Ryffel, J. B. Rubinovitz, Tamay Besiroglu, Federica Carugati, Jack Clark, Peter Eckersley, Sarah de Haas, Maritza Johnson, Ben Laurie, Alex Ingerman, Igor Krawczuk, Amanda Askell, Rosario Cammarota, Andrew Lohn, David Krueger, Charlotte Stix, Peter Henderson, Logan Graham, Carina Prunkl, Bianca Martin, Elizabeth Seger, Noa Zilberman, Seán Ó hÉigeartaigh, Frens Kroeger, Girish Sastry, Rebecca Kagan, Adrian Weller, Brian Tse, Elizabeth Barnes, Allan Dafoe, Paul Scharre, Ariel Herbert-Voss, Martijn Rasser, Shagun Sodhani, Carrick Flynn, Thomas Krendl Gilbert, Lisa Dyer, Saif M. Khan, Yoshua Bengio, Markus Anderljung
2019	J	`jnl`	Actor Critic with Differentially Private Critic. CoRR Jonathan Lebensold, William L. Hamilton, Borja Balle, Doina Precup
2019	A	`conf`	Neural Transfer Learning for Cry-Based Diagnosis of Perinatal Asphyxia. INTERSPEECH Charles C. Onu, Jonathan Lebensold, William L. Hamilton, Doina Precup
2019	J	`jnl`	Neural Transfer Learning for Cry-based Diagnosis of Perinatal Asphyxia. CoRR Charles C. Onu, Jonathan Lebensold, William L. Hamilton, Doina Precup