T. Nathan Mundhenk
Orcid: 0000-0002-3508-0341
According to our database1,
T. Nathan Mundhenk
authored at least 27 papers
between 2002 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition.
CoRR, 2023
2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
CoRR, 2021
Improving exploration in policy gradient search: Application to symbolic optimization.
CoRR, 2021
Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients.
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020
2019
2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017
Deep learning for evaluating difficult-to-detect incomplete repairs of high fluence laser optics at the National Ignition Facility.
Proceedings of the Thirteenth International Conference on Quality Control by Artificial Vision, 2017
2016
Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications.
Proceedings of the International Conference for High Performance Computing, 2016
A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning.
Proceedings of the Computer Vision - ECCV 2016, 2016
2015
PanDAR: a wide-area, frame-rate, and full color lidar with foveated region using backfilling interpolation upsampling.
Proceedings of the Intelligent Robots and Computer Vision XXXII: Algorithms and Techniques, 2015
2014
Classification and segmentation of orbital space based objects against terrestrial distractors for the purpose of finding holes in shape from motion 3D reconstruction.
Proceedings of the Intelligent Robots and Computer Vision XXXI: Algorithms and Techniques, 2014
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014
2013
Proceedings of the IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, 2013
2012
Detection of unknown targets from aerial camera and extraction of simple object fingerprints for the purpose of target reacquisition.
Proceedings of the Intelligent Robots and Computer Vision XXIX: Algorithms and Techniques, 2012
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012
2011
High precision object segmentation and tracking for use in super resolution video reconstruction.
Proceedings of the Intelligent Robots and Computer Vision XXVIII: Algorithms and Techniques, 2011
2005
Biol. Cybern., 2005
2004
Proceedings of the Human Vision and Electronic Imaging IX, 2004
2003
CINNIC, a new computational algorithm for the modeling of early visual contour integration in humans.
Neurocomputing, 2003
2002
Proceedings of the Biologically Motivated Computer Vision Second International Workshop, 2002
Proceedings of the Biologically Motivated Computer Vision Second International Workshop, 2002