Lynn Cherif

According to our database, Lynn Cherif authored at least 4 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, April, 2025

Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning.

Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Parseval Regularization for Continual Reinforcement Learning.

Wesley Chung, Lynn Cherif, Doina Precup, David Meger

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

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