Articles in journals or magazines

• A. Adhikari, J. DeNero, and M. Jordan, "Interleaving computational and inferential thinking: Data science for undergraduates at Berkeley," {Harvard Data Science Review, vol. 2, pp. 1-24, Sep. 2021.

Articles in conference proceedings

• S. Ibraheem, G. Zhou, and J. DeNero, "Putting the Con in Context: Identifying Deceptive Actors in the Game of Mafia," in Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Seattle, United States: Association for Computational Linguistics, 2022, pp. 158--168.
• S. Ibraheem, V. Gates, J. DeNero, and T. Griffiths, "Investigating the Behavior of Malicious Actors Through the Game of Mafia.," in CogSci, 2020.
• N. Altieri, S. Niyaz, S. Ibraheem, and J. DeNero, "Improved Word and Symbol Embedding for Part-of-Speech Tagging," in SNL-2017, 2017.
• S. Ibraheem, N. Altieri, and J. DeNero, "Learning an interactive attention policy for neural machine translation," in Proceedings of MT Summit, 2017.
• S. Sridhara, B. Hou, J. Lu, and J. DeNero, "Fuzz Testing Projects in Massive Courses," in Proceedings of the Third (2016) ACM Conference on Learning @ Scale, L@S '16, New York, NY, USA: ACM, 2016, pp. 361--367.

Masters Reports

• B. Yu, "Treating Models Better for Language-agnostic Understanding," K. Keutzer and J. DeNero, Eds., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2023-148, May 2023.
• S. Sridhara, P. Phothilimthana, and J. DeNero, "High Coverage Hint Generation for Massive Courses," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2017-187, Dec. 2017.