Deep involutive generative models for neural mcmc S Spanbauer, C Freer, V Mansinghka arXiv preprint arXiv:2006.15167, 2020 | 17 | 2020 |
Measurement, instrumentation, control and analysis (MICA): A modular system of wireless sensors A Spanbauer, A Wahab, B Hemond, I Hunter, L Jones 2013 IEEE International Conference on Body Sensor Networks, 1-5, 2013 | 7 | 2013 |
MICA: An Innovative approach to remote data acquisition BD Hemond, A Wahab, A Spanbauer, IW Hunter, BJ Hughey, LA Jones IEEE Instrumentation & Measurement Magazine 15 (5), 22-27, 2012 | 5 | 2012 |
Extended koopman models S Spanbauer, I Hunter arXiv preprint arXiv:2010.06845, 2020 | 3 | 2020 |
Coarse-Grained Nonlinear System Identification S Spanbauer, I Hunter arXiv preprint arXiv:2010.06830, 2020 | 2 | 2020 |
Neural group actions S Spanbauer, L Sciarappa arXiv preprint arXiv:2010.03733, 2020 | 2 | 2020 |
Rapid Generation of Stochastic Signals with Specified Statistics S Spanbauer, I Hunter arXiv preprint arXiv:2010.06840, 2020 | 1 | 2020 |
Computational tools towards automating the scientific method S Spanbauer Massachusetts Institute of Technology, 2021 | | 2021 |
MICA workspace: a symbolic computational environment for signal analysis AJ Spanbauer Massachusetts Institute of Technology, 2013 | | 2013 |
A Device for Diagnosing Vestibular Disorders Using Stochastic System Identification A Spanbauer, M Jeunnette, F Meyen, S Bricault, M Zervas, D Brine, ... | | |