Ng, Nathan Hoyen

4 publications

TMLR 2024 Blind Biological Sequence Denoising with Self-Supervised Set Learning Nathan Hoyen Ng, Ji Won Park, Jae Hyeon Lee, Ryan Lewis Kelly, Stephen Ra, Kyunghyun Cho

TMLR 2024 Improving Black-Box Robustness with In-Context Rewriting Kyle O'Brien, Nathan Hoyen Ng, Isha Puri, Jorge Mendez-Mendez, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi, Thomas Hartvigsen

ICML 2024 Measuring Stochastic Data Complexity with Boltzmann Influence Functions Nathan Hoyen Ng, Roger Baker Grosse, Marzyeh Ghassemi

TMLR 2023 Predicting Out-of-Domain Generalization with Neighborhood Invariance Nathan Hoyen Ng, Neha Hulkund, Kyunghyun Cho, Marzyeh Ghassemi