Stanford Advisors


2025-26 Courses


All Publications


  • Probabilistic parameter estimators and calibration metrics for pose estimation from image features Digital Avionics Systems Conference (DASC) Valentin, R., Katz, S., Lee, J., Arief, M., Sorgenfrei, M., Walker, D., Kochenderfer, M. J. 2024
  • Backward reachability analysis of neural feedback loops: {T}echniques for linear and nonlinear systems IEEE Open Journal of Control Systems Rober, N., Katz, S. M., Sidrane, C., Yel, E., Everett, M., Kochenderfer, M. J., How, J. P. 2023; 2: 108-124
  • Generating probabilistic safety guarantees for neural network controllers MACHINE LEARNING Katz, S. M., Julian, K. D., Strong, C. A., Kochenderfer, M. J. 2021
  • Synthesis and characterization of Fe(III)-Fe(II)-Mg-Al smectite solid solutions and implications for planetary science AMERICAN MINERALOGIST Fox, V. K., Kupper, R. J., Ehlmann, B. L., Catalano, J. G., Razzell-Hollis, J., Abbey, W. J., Schild, D. J., Nickerson, R. D., Peters, J. C., Katz, S. M., White, A. A. 2021; 106 (6): 964-982
  • Verification of image-based neural network controllers using generative model Digital Avionics Systems Conference (DASC) Katz, S. M., Corso, A. L., Strong, C. A., Kochenderfer, M. J. 2021
  • Learning an Urban Air Mobility Encounter Model from Expert Preferences Katz, S. M., Le Bihan, A., Kochenderfer, M. J., IEEE IEEE. 2019