Evaluation of Key Spatiotemporal Learners for Print Track Anomaly Classification Using Melt Pool Image Streams. - Lynn Cherif; Mutahar Safdar; Guy Lamouche; Priti Wanjara; Padma Polash Paul; Gentry Wood; Max Zimmermann; Florian Hannesen; Yaoyao Fiona Zhao (CoRR, 2023)

Parseval Regularization for Continual Reinforcement Learning. - Wesley Chung; Lynn Cherif; Doina Precup; David Meger (NeurIPS, 2024)

Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning. - Seanie Lee; Minsu Kim 004; Lynn Cherif; David Dobre; Juho Lee 001; Sung Ju Hwang; Kenji Kawaguchi; Gauthier Gidel; Yoshua Bengio; Nikolay Malkin; Moksh Jain (ICLR, 2025)

Cracking the Code of Action: a Generative Approach to Affordances for Reinforcement Learning. - Lynn Cherif; Flemming Kondrup; David Venuto; Ankit Anand; Doina Precup; Khimya Khetarpal (CoRR, 2025)