Scholar
David S. Hayden
Google Scholar ID: EysbmrUAAAAJ
Cruise
Machine Learning
Computer Vision
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Citations & Impact
All-time
Citations
306
H-index
5
i10-index
3
Publications
20
Co-authors
23
list available
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Publications
3 items
Generative Data Mining with Longtail-Guided Diffusion
2025
Cited
0
Causal Composition Diffusion Model for Closed-loop Traffic Generation
arXiv.org · 2024
Cited
0
DriveGPT: Scaling Autoregressive Behavior Models for Driving
arXiv.org · 2024
Cited
0
Resume (English only)
Academic Achievements
Paper 'Generative Data Mining with Longtail-Guided Diffusion' accepted at ICML 2025.
Paper 'DriveGPT: Scaling Autoregressive Behavior Models for Driving' accepted at ICML 2025.
Paper 'Causal Composition Diffusion Model for Closed-loop Traffic Generation' accepted at CVPR 2025.
Completed PhD thesis in 2021.
Paper 'Sequential Bayesian Experimental Design with Variable Cost Structure' published at NeurIPS 2020.
Paper 'Efficient Data Association and Uncertainty Quantification for Multi-Object Tracking' posted on arXiv in 2020.
Paper 'Nonparametric Object and Parts Modeling with Lie Group Dynamics' published at CVPR 2020.
Co-authored paper 'Atypical Behaviour and Connectivity in SHANK3-Mutant Macaques' published in Nature (June 2019).
Earlier works published in CHI 2014 Workshop, CVPR 2012 Workshop, and ACM Transactions on Intelligent Systems and Technology (2012).
Co-authors
23 total
Co-author 1
Co-author 2
David R. Thompson
Jet Propulsion Laboratory, California Institute of Technology
Jason L. Pacheco
University of Arizona
Co-author 5
Siddhartha Srinivasa
Professor, University of Washington
Eric M. Wolff
GM
Co-author 8
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