Jasmine Bayrooti

According to our database1, Jasmine Bayrooti authored at least 12 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Generalized Intention Modeling in Multi-Agent Reinforcement Learning.
CoRR, May, 2026

Decomposing Private Image Generation via Coarse-to-Fine Wavelet Modeling.
CoRR, February, 2026

Learning Mixture Density via Natural Gradient Expectation Maximization.
CoRR, February, 2026

2025
No-Regret Thompson Sampling for Finite-Horizon Markov Decision Processes with Gaussian Processes.
CoRR, October, 2025

Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Provably Safe Online Multi-Agent Navigation in Unknown Environments.
Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023
Differentially Private Decentralized Deep Learning with Consensus Algorithms.
CoRR, 2023

Multispectral Self-Supervised Learning with Viewmaker Networks.
CoRR, 2023

Multispectral Contrastive Learning with Viewmaker Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021
Temperature as Uncertainty in Contrastive Learning.
CoRR, 2021

2020
Reading Between the Demographic Lines: Resolving Sources of Bias in Toxicity Classifiers.
CoRR, 2020

Keep Your AI-es on the Road: Tackling Distracted Driver Detection with Convolutional Neural Networks and Targeted Data Augmentation.
CoRR, 2020


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