Machine Learning Systems
Photo of Ben Bornstein

Benjamin Bornstein

Mail Stop 126-347
4800 Oak Grove Drive
Pasadena, CA 91109

Office (JPL): 126-311
Phone (JPL): (818) 393-5349
FAX (JPL): (818) 393-5244
Office (Caltech): Steele Laboratories, room 130
Phone (Caltech): (626) 395-6911
Email: Benjamin.Bornstein@jpl.nasa.gov
Web page: http://www.bbornstein.org/ [External Link]

Publications:

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David R. Thompson, Robert C. Anderson, Benjamin Bornstein, Nathalie A. Cabrol, Steve Chien, Tara Estlin, Terry Fong, Robert Hogan, Ralph Lorenz, Daniel Gaines, Martha S. Gilmore, Mario Parente, Liam Pedersen, Ted L. Roush, Giuseppe Marzo, David Wettergreen. Onboard Science Data Analysis: Implications for Future Missions. Whitepaper submitted to the National Academy of Science's Planetary Science Decadal Survey. Download PDF (CL#09-3684)

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Robert Granat, Kiri L. Wagstaff, Benjamin Bornstein, Benyang Tang, and Michael Turmon. Simulating and Detecting Radiation-Induced Errors for Onboard Machine Learning. Proceedings of the Third IEEE International Conference on Space Mission Challenges for Information Technology (SMC-IT), July 2009. Download PDF (CL #09-1474)

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Kiri L. Wagstaff and Benjamin Bornstein. How much Memory Radiation Protection do Onboard Machine Learning Algorithms Require?. Proceedings of the IJCAI-09/SMC-IT-09/IWPSS-09 Workshop on Artificial Intelligence in Space, July 2009. Download PDF (CL #09-2771)

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Kiri L. Wagstaff and Benjamin Bornstein. K-means in Space: A Radiation Sensitivity Evaluation. Proceedings of the Twenty-Sixth International Conference on Machine Learning (ICML), June 2009. Download PDF (CL #09-1355) [Note: An error in units conversion causes the experiments in this paper to over-estimate the impact of radiation. See 'How much Memory Radiation Protection do Onboard Machine Learning Algorithms Require?' above for updated results.]

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Lukas Mandrake, Seungwon Lee, Benjamin Bornstein, Brian Bue. Adapting AMDIS for Autonomous Spectral Identification of Hazardous Compounds for ISS Monitoring. Proceedings of the 30th IEEE Aerospace Conference, March 2009. Download PDF (CL #08-4703)

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Seungwon Lee, Lukas Mandrake, Benjamin Bornstein, Brian Bue. Quantification of Trace Chemicals using Vehicle Cabin Atmosphere Monitor. Proceedings of the 30th IEEE Aerospace Conference, March 2009. Download PDF (CL #09-1960)

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Michael C. Burl, Michael J. Garay, Clare Averill, Benjamin Bornstein, Lukas Mandrake, Yi Wang, Justin Ng. Generation of Object-Centric Datasets with Adaptive Sky. Earth Science Technology Conference 2008 Proceedings. Download PDF (CL)

M.C. Burl, M.J. Garay, C. Averill, B.J. Bornstein, L. Mandrake, Justin Ng, Yi Wang. Adaptive sky sensor web: novel multi-instrument, multi-satellite observations of volcanic ash. 4th International Conference on Intelligent Environments (IE 08) (CP541). (CL)

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Rebecca Castano, Tara Estlin, Robert C. Anderson, Daniel M. Gaines, Andres Castano, Benjamin Bornstein, Caroline Chouinard, and Michele Judd. OASIS: Onboard Autonomous Science Investigation System for Opportunistic Rover Science. Journal of Field Robotics 24, 5, May 2007, p. 379-397. Download PDF (CL #06-3762)

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R. Castano, T. Estlin, D. Gaines, A. Castano, B. Bornstein, C. Chouinard, R.C. Anderson, and M. Judd. Automated Target selection for Opportunistic Rover Science. 37th Lunar and Planetary Science Conference, March 2006. Download PDF (CL #06-0426)

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Rebecca Castano, Michele Judd, Tara Estlin, Robert C. Anderson, Daniel Gaines, Andres Castano, Ben Bornstein, Tim Stough, and Kiri Wagstaff. Current Results from a Rover Science Data Analysis System. Proceedings of the 2005 IEEE Aerospace Conference, March 2005. Download PDF (CL #05-0185)