Lucas Rosenblatt
Orcid: 0000-0001-6952-4361
According to our database1,
Lucas Rosenblatt
authored at least 22 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
SIGMOD Rec., March, 2024
Sharper Bounds for Chebyshev Moment Matching with Applications to Differential Privacy and Beyond.
CoRR, 2024
Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024
I Open at the Close: A Deep Reinforcement Learning Evaluation of Open Streets Initiatives.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Top-down Green-ups: Satellite Sensing and Deep Models to Predict Buffelgrass Phenology.
CoRR, 2023
CoRR, 2023
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
CoRR, 2022
2021
Proc. VLDB Endow., 2021
J. Philos. Log., 2021
2020
CoRR, 2020
2019
2018
Proceedings of the 15th Web for All Conference, 2018
2017
Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility, 2017
2015
2014