Christina Baek

According to our database, Christina Baek authored at least 10 papers between 2017 and 2023.

Collaborative distances:

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

2023

On the Joint Interaction of Models, Data, and Features.

Yiding Jiang, Christina Baek, J. Zico Kolter

CoRR, 2023

2022

Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning.

Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma

J. Artif. Intell. Res., 2022

Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift.

Christina Baek, Yiding Jiang, Aditi Raghunathan, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Assessing Generalization of SGD via Disagreement.

Yiding Jiang, Vaishnavh Nagarajan, Christina Baek, J. Zico Kolter

Proceedings of the Tenth International Conference on Learning Representations, 2022

Efficient Maximal Coding Rate Reduction by Variational Forms.

Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Computational Benefits of Intermediate Rewards for Hierarchical Planning.

Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma

CoRR, 2021

Incremental Learning via Rate Reduction.

Ziyang Wu, Christina Baek, Chong You, Yi Ma

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2018

Robust Human Following by Deep Bayesian Trajectory Prediction for Home Service Robots.

Beom-Jin Lee, Jinyoung Choi, Christina Baek, Byoung-Tak Zhang

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Perception-Action-Learning System for Mobile Social-Service Robots Using Deep Learning.

Beom-Jin Lee, Jinyoung Choi, Chung-yeon Lee, Kyung-Wha Park, Sungjun Choi, Cheolho Han, Dong-Sig Han, Christina Baek, Patrick Mokodir Emaase, Byoung-Tak Zhang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

In vitro molecular machine learning algorithm via symmetric internal loops of DNA.

Ji-Hoon Lee, Seung Hwan Lee, Christina Baek, Hyo-Sun Chun, Je-Hwan Ryu, Jin-Woo Kim, Russell J. Deaton, Byoung-Tak Zhang

Biosyst., 2017