Xingjian Bai

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 10

Top Topics

Diffusion Models

Reinforcement Learning

Top Venues

Publications

Xingjian Bai, Luke Melas-Kyriazi
Fixed Point Diffusion Models. CoRR (2024)
Xingjian Bai, Christian Coester, Romain Cosson
Unweighted Layered Graph Traversal. CoRR (2024)
Jacek Karwowski, Oliver Hayman, Xingjian Bai, Klaus Kiendlhofer, Charlie Griffin, Joar Max Viktor Skalse
Goodhart's Law in Reinforcement Learning. ICLR (2024)
Xingjian Bai, Christian Coester
Sorting with Predictions. CoRR (2023)
Xingjian Bai, Christian Coester
Sorting with Predictions. NeurIPS (2023)
Jacek Karwowski, Oliver Hayman, Xingjian Bai, Klaus Kiendlhofer, Charlie Griffin, Joar Skalse
Goodhart's Law in Reinforcement Learning. CoRR (2023)
Xingjian Bai, Guangyi He, Yifan Jiang, Jan Oblój
Wasserstein distributional robustness of neural networks. CoRR (2023)
Xingjian Bai, Guangyi He, Yifan Jiang, Jan Oblój
Wasserstein distributional robustness of neural networks. NeurIPS (2023)
Hannah Rose Kirk, Yennie Jun, Paulius Rauba, Gal Wachtel, Ruining Li, Xingjian Bai, Noah Broestl, Martin Doff-Sotta, Aleksandar Shtedritski, Yuki Markus Asano
Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset. CoRR (2021)
Kwang Pyo Kim, Atul K. Singh, Xingjian Bai, Lena Leprun, Arun K. Bhunia
, 22672-22691. Sensors 17 (5) (2017)
Kwang Pyo Kim, Atul K. Singh, Xingjian Bai, Lena Leprun, Arun K. Bhunia
Species Detection from Food. Sensors 15 (9) (2015)