David S. Hayden
Scholar

David S. Hayden

Google Scholar ID: EysbmrUAAAAJ
Cruise
Machine LearningComputer Vision
Citations & Impact
All-time
Citations
306
 
H-index
5
 
i10-index
3
 
Publications
20
 
Co-authors
23
list available
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).