Sotabase

Career

· JD Candidate '26, Lewis Brisbois2023–2026
· PhD Student, Carnegie Mellon University2021–
· Bachelor of Science in Biology, University of California, Berkeley2017–2021
· Graduate Student, University of California, Berkeley2017–2021

Publications (23)

Assessing Generalization of SGD via Disagreement
International Conference on Learning Representations · 2021
131
cited
Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution Shift
Neural Information Processing Systems · 2022
107
cited
Incremental Learning via Rate Reduction
Computer Vision and Pattern Recognition · 2020
43
cited
Robust Human Following by Deep Bayesian Trajectory Prediction for Home Service Robots
IEEE International Conference on Robotics and Automation · 2018
38
cited
Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning
Journal of Artificial Intelligence Research · 2021
27
cited
Weight Ensembling Improves Reasoning in Language Models
arXiv.org · 2025
23
cited
Why is SAM Robust to Label Noise?
International Conference on Learning Representations · 2024
21
cited
Perception-Action-Learning System for Mobile Social-Service Robots Using Deep Learning
AAAI Conference on Artificial Intelligence · 2018
11
cited
Efficient Maximal Coding Rate Reduction by Variational Forms
Computer Vision and Pattern Recognition · 2022
10
cited
Enzymatic Weight Update Algorithm for DNA-Based Molecular Learning
Molecules · 2019
8
cited
In vitro molecular machine learning algorithm via symmetric internal loops of DNA
Biosyst. · 2017
6
cited
On the Joint Interaction of Models, Data, and Features
International Conference on Learning Representations · 2023
4
cited
Predicting the Performance of Foundation Models via Agreement-on-the-Line
Neural Information Processing Systems · 2024
4
cited
Massively-Parallel Pattern Recognition through Evolutionary Molecular Hypernetwork in DNA Computing
2015
1
cited
Molecular Computing Simulation of Cognitive Anagram Solving
2014
1
cited
Online Constructive Machine Learning with Molecular Hypernetworks in DNA Computing
2016
1
cited
Computational Benefits of Intermediate Rewards for Hierarchical Planning
arXiv.org · 2021
Evolutionary Molecular Learning for Hand-written Digit Classification with Enzymatic Manipulation of DNA sequences
2015
Intelligent DNA learning system with multiple iterations of weight update
2018
In vivo Intelligent Agents with CRISPR-Cas 9 for Molecular Learning
2017
Sotabase
Christina Baek | Researcher Profile | Sotabase | Sotabase