Publications

Kaylene C. Stocking, Alison Gopnik, Claire J. Tomlin (2021). From Robot Learning To Robot Understanding: Leveraging Causal Graphical Models For Robotics . 5th Annual Conference on Robot Learning, Blue Sky Submission Track.

Kaylene C. Stocking, D. Livingston McPherson, Robert P. Matthew, Claire J. Tomlin (2021). Discretizing Dynamics for Maximum Likelihood Constraint Inference. arXiv: 2109.04874 [cs, eess].

David L. McPherson, Kaylene C. Stocking, S. Shankar Sastry (2021). Maximum Likelihood Constraint Inference from Stochastic Demonstrations. arXiv:2102.12554 [cs, eess].

Koki Yoshimoto, Nicholas Minier, Satoshi Imamura, Kaylene Stocking, Janmesh Patel, Shiho Terada, Ken-ichiro Kamei (2020). Recapitulation of human embryonic heart beating to promote differentiation of hepatic endoderm to hepatoblasts.

Kaylene C. Stocking, Alberto L. Vazquez, Takashi D. Y. Kozai (2019). Intracortical Neural Stimulation With Untethered, Ultrasmall Carbon Fiber Electrodes Mediated by the Photoelectric Effect. IEEE Transactions on Biomedical Engineering.

Evan N. Nicolai, Nicholas J. Michelson, Megan L. Settell, Seth A. Hara, James K. Trevathan, Anders J. Asp, Kaylene C. Stocking, J. Luis Lujan, Takashi D. Y. Kozai, Kip A. Ludwig (2018). Design Choices for Next-Generation Neurotechnology Can Impact Motion Artifact in Electrophysiological and Fast-Scan Cyclic Voltammetry Measurements. Micromachines.

Kiri Choi, J Kyle Medley, Matthias König, Kaylene Stocking, Lucian Smith, Stanley Gu, Herbert M. Sauro (2018). Tellurium: An Extensible Python-based Modeling Environment for Systems and Synthetic Biology. Bio Systems.