Eric R. Cole

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 6

Top Topics

Random Sampling

Active Learning

Optimization Problems

Top Venues

IEEE Robotics Autom. Lett.

Publications

Eric R. Cole, Kevin P. Quimbo, Grant J. Stento, Chadd M. Funk, Lou T. Blanpain, Sina Dabiri, Nealen G. Laxpati, Michael J. Kahana, Robert E. Gross
Automated Detection of Evoked Potentials Produced by Intracranial Electrical Stimulation. NER (2023)
Sina Dabiri, Eric R. Cole, Robert E. Gross
Adaptive Bayesian Optimization for State-Dependent Brain Stimulation. NER (2023)
Mariah Schrum, Mark J. Connolly, Eric R. Cole, Mihir Ghetiya, Robert Gross, Matthew C. Gombolay
Meta-Active Learning in Probabilistically Safe Optimization. IEEE Robotics Autom. Lett. 7 (4) (2022)
Eric R. Cole, Dayton P. Grogan, Thomas E. Eggers, Mark J. Connolly, Nealen G. Laxpati, Robert E. Gross
Model-Driven Collection of Neural Modulation Data. NER (2021)
Eric R. Cole, Mark J. Connolly, Sang-Eon Park, Dayton P. Grogan, William Buxton, Thomas E. Eggers, Nealen G. Laxpati, Robert E. Gross
Autonomous State Inference for Data-Driven Optimization of Neural Modulation. NER (2021)
Mariah L. Schrum, Mark J. Connolly, Eric R. Cole, Mihir Ghetiya, Robert Gross, Matthew C. Gombolay
Meta-active Learning in Probabilistically-Safe Optimization. CoRR (2020)