Publications in reverse chronological order:

S. Johnson-Yu, S. H. Singh, F. Pedraja, D. Turcu, P. Sharma, N. Saphra, N. Sawtell, and K. Rajan. “Understanding biological active sensing behaviors by interpreting learned artificial agent policies.” In InterpPol Workshop @ RLC-2024.

S. Johnson-Yu, S. H. Singh, F. Pedraja, D. Turcu, P. Sharma, N. Saphra, N. B. Sawtell, and K. Rajan. “Emergent active sensing behaviors in artificial electric fish agents.” Extended Abstract. In Cognitive Computational Neuroscience, 2024.

N. Ramachandran, J. Irvin, H. Sheng, S. Johnson-Yu, K. Story, R. Rustowicz, A. Y. Ng, and K. Austin. “Automatic deforestation driver attribution using deep learning on satellite imagery.” In Global Environmental Change, vol. 86, Pergamon, 2024, pp. 102843.

S. Johnson-Yu, J. Finocchiaro, A. Sinha, K. Wang, Y. Vorobeychik, A. Taneja, and M. Tambe. “Characterizing and Improving the Robustness of Predict-Then-Optimize Frameworks.” In Conference on Decision and Game Theory for Security (GameSec) 2023.

S. Johnson-Yu, K. Wang, J. Finocchiaro, A. Taneja, and M. Tambe. “Modeling Robustness in Decision-Focused Learning as a Stackelberg Game.” Extended Abstract. In International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2023.

J. Killian*, L. Xu*, A. Biswas*, S. Verma*, V. Nair, A. Taneja, A. Hegde, N. Madhiwalla, P. Rodriguez Diaz, S. Johnson-Yu, M. Tambe. 2/9/2023. “Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program.” In AAAI Conference on Artificial Intelligence 2023.

S. Johnson-Yu, N. Bowman, M. Sahami, C. Piech. “SimGrade: Using Code Similarity Measures for More Accurate Human Grading.” Educational Data Mining 2021.

J. Irvin, H. Sheng, N. Ramachandran, S. Johnson-Yu, et al. “ForestNet: Classifying Drivers of Deforestation in Indonesia using Deep Learning on Satellite Imagery.” Tackling Climate Change with Machine Learning at NeurIPS 2020.