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 001; Russell J. Deaton; Byoung-Tak Zhang (Biosyst., 2017)

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 (AAAI, 2018)

Robust Human Following by Deep Bayesian Trajectory Prediction for Home Service Robots. - Beom-Jin Lee; Jinyoung Choi; Christina Baek; Byoung-Tak Zhang (ICRA, 2018)

Incremental Learning via Rate Reduction. - Ziyang Wu; Christina Baek; Chong You; Yi Ma 001 (CVPR, 2021)

Computational Benefits of Intermediate Rewards for Hierarchical Planning. - Yuexiang Zhai; Christina Baek; Zhengyuan Zhou; Jiantao Jiao; Yi Ma 001 (CoRR, 2021)

Efficient Maximal Coding Rate Reduction by Variational Forms. - Christina Baek; Ziyang Wu; Kwan Ho Ryan Chan; Tianjiao Ding; Yi Ma 001; Benjamin D. Haeffele (CVPR, 2022)

Assessing Generalization of SGD via Disagreement. - Yiding Jiang; Vaishnavh Nagarajan; Christina Baek; J. Zico Kolter (ICLR, 2022)

Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift. - Christina Baek; Yiding Jiang; Aditi Raghunathan; J. Zico Kolter (NeurIPS, 2022)

Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning. - Yuexiang Zhai; Christina Baek; Zhengyuan Zhou; Jiantao Jiao; Yi Ma 001 (J. Artif. Intell. Res., 2022)

Why is SAM Robust to Label Noise? - Christina Baek; J. Zico Kolter; Aditi Raghunathan (ICLR, 2024)

On the Joint Interaction of Models, Data, and Features. - Yiding Jiang; Christina Baek; J. Zico Kolter (ICLR, 2024)

Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line. - Eungyeup Kim; Mingjie Sun; Christina Baek; Aditi Raghunathan; J. Zico Kolter (NeurIPS, 2024)

Predicting the Performance of Foundation Models via Agreement-on-the-Line. - Rahul Saxena; Taeyoun Kim; Aman Mehra; Christina Baek; J. Zico Kolter; Aditi Raghunathan (NeurIPS, 2024)

Theory of Agreement-on-the-Line in Linear Models and Gaussian Data. - Christina Baek; Aditi Raghunathan; J. Zico Kolter (AISTATS, 2025)

Context-Parametric Inversion: Why Instruction Finetuning May Not Actually Improve Context Reliance. - Sachin Goyal; Christina Baek; J. Zico Kolter; Aditi Raghunathan (ICLR, 2025)

Weight Ensembling Improves Reasoning in Language Models. - Xingyu Dang; Christina Baek; Kaiyue Wen; Zico Kolter; Aditi Raghunathan (CoRR, 2025)

BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining. - Pratyush Maini; Vineeth Dorna; Parth Doshi; Aldo Carranza; Fan Pan; Jack Urbanek; Paul Burstein; Alex Fang; Alvin Deng; Amro Abbas; Brett W. Larsen; Cody Blakeney; et al. (CoRR, 2025)