John Mern
John Mern
Verified email at stanford.edu
Title
Cited by
Cited by
Year
Visual Depth Mapping from Monocular Images using Recurrent Convolutional Neural Networks
J Mern, K Julian, R Tompa, M Kochenderfer
AIAA Science and Technology Forum and Exposition, 2018
52018
UAV Depth Perception from Visual, Images using a Deep Convolutional Neural Network
K Julian, J Mern, R Tompa
42017
A study of numerical simulation of supersonic conical nozzle exhaust
J Mern, RK Agarwal
49th AIAA/ASME/SAE/ASEE Joint PropulsionConference, 3697, 2013
42013
Using Bitcoin Ledger Network Data to Predict the Price of Bitcoin
J Mern, S Anderson, J Poothokaran
Stanford University, 2017
32017
Bayesian Optimized Monte Carlo Planning
J Mern, A Yildiz, Z Sunberg, T Mukerji, MJ Kochenderfer
arXiv preprint arXiv:2010.03597, 2020
22020
Methods and apparatuses for payload deployment using low-force release and replacement of outer mold line panel
JM Mern, JR Irwin
US Patent 9,623,970, 2017
22017
Improved POMDP Tree Search Planning with Prioritized Action Branching
J Mern, A Yildiz, L Bush, T Mukerji, MJ Kochenderfer
arXiv preprint arXiv:2010.03599, 2020
12020
Object Exchangeability in Reinforcement Learning
J Mern, D Sadigh, M Kochenderfer
arXiv preprint arXiv:1905.02698, 2019
12019
Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures
J Mern, JK Gupta, M Kochenderfer
2017 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1-8., 2017
12017
Structure and evolution of bitcoin transaction network
J Mern
Dept. Aeronaut. Astronaut., Stanford Univ., Stanford, CA, USA. Tech. Rep, 0
1
Obstacle Avoidance Using a Monocular Camera
K Hatch, JM Mern, MJ Kochenderfer
AIAA Scitech 2021 Forum, 0269, 2021
2021
Exchangeable Input Representations for Reinforcement Learning
J Mern, D Sadigh, MJ Kochenderfer
2020 American Control Conference (ACC), 3971-3976, 2020
2020
Towards Recurrent Autoregressive Flow Models
J Mern, P Morales, MJ Kochenderfer
arXiv preprint arXiv:2006.10096, 2020
2020
Numerical Study of Three-Stream Nozzle Exhaust Flow From a Simplified Model of a Turbofan Nacelle
JM Mern, RK Agarwal
50th AIAA/ASME/SAE/ASEE Joint Propulsion Conference, 4013, 2014
2014
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