Keep Your AI-es on the Road: Tackling Distracted Driver Detection with Convolutional Neural Networks and Targeted Data Augmentation. - Nikka Mofid; Jasmine Bayrooti; Shreya Ravi (CoRR, 2020)

Reading Between the Demographic Lines: Resolving Sources of Bias in Toxicity Classifiers. - Elizabeth Reichert; Helen Qiu; Jasmine Bayrooti (CoRR, 2020)

Temperature as Uncertainty in Contrastive Learning. - Oliver Zhang; Mike Wu; Jasmine Bayrooti; Noah D. Goodman (CoRR, 2021)

Multispectral Contrastive Learning with Viewmaker Networks. - Jasmine Bayrooti; Noah D. Goodman; Alex Tamkin (CVPR Workshops, 2023)

Multispectral Self-Supervised Learning with Viewmaker Networks. - Jasmine Bayrooti; Noah D. Goodman; Alex Tamkin (CoRR, 2023)

Differentially Private Decentralized Deep Learning with Consensus Algorithms. - Jasmine Bayrooti; Zhan Gao; Amanda Prorok (CoRR, 2023)

Provably Safe Online Multi-Agent Navigation in Unknown Environments. - Zhan Gao; Guang Yang 018; Jasmine Bayrooti; Amanda Prorok (CoRL, 2024)

Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling. - Jasmine Bayrooti; Carl Henrik Ek; Amanda Prorok (ICLR, 2025)