Open Access Helper

OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

From Explanation to Synthesis: Compositional Program Induction for Learning from Demonstration
Michael Burke, Svetlin Penkov, Subramanian Ramamoorthy
(2019)
Open Access | Times Cited: 21

Showing 21 citing articles:

A survey on interpretable reinforcement learning
Claire Glanois, Paul Weng, Matthieu Zimmer, et al.
Machine Learning (2024) Vol. 113, Iss. 8, pp. 5847-5890
Closed Access | Times Cited: 20
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video
Miguel Jaques, Michael Burke, Timothy M. Hospedales
International Conference on Learning Representations (2020)
Closed Access | Times Cited: 13
SKID RAW: Skill Discovery From Raw Trajectories
Daniel Tanneberg, Kai Ploeger, Elmar Rueckert, et al.
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 3, pp. 4696-4703
Open Access | Times Cited: 12
NewtonianVAE: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces
Miguel Jaques, Michael Burke, Timothy M. Hospedales
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 12
Composing Diverse Policies for Temporally Extended Tasks
Daniel Angelov, Yordan Hristov, Michael Burke, et al.
IEEE Robotics and Automation Letters (2020) Vol. 5, Iss. 2, pp. 2658-2665
Open Access | Times Cited: 11
Examples of Gibsonian Affordances in Legged Robotics Research Using an Empirical, Generative Framework
Sonia F. Roberts, Daniel E. Koditschek, Lisa J. Miracchi
Frontiers in Neurorobotics (2020) Vol. 14
Open Access | Times Cited: 10
Learning to Synthesize Programs as Interpretable and Generalizable Policies
Dweep Trivedi, Jesse Zhang, Shaohua Sun, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 9
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video
Miguel Jaques, Michael Burke, Timothy M. Hospedales
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 6
Explanatory machine learning for sequential human teaching
Lun Ai, Johannes Langer, Stephen Muggleton, et al.
Machine Learning (2023) Vol. 112, Iss. 10, pp. 3591-3632
Open Access | Times Cited: 2
Deep Bayesian Nonparametric Learning of Rules and Plans from Demonstrations with a Learned Automaton Prior
Brandon Araki, Kiran Vodrahalli, Thomas Leech, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2020) Vol. 34, Iss. 06, pp. 10026-10034
Open Access | Times Cited: 5
Compositional memory in attractor neural networks with one-step learning
Gregory P. Davis, Garrett E. Katz, Rodolphe J. Gentili, et al.
Neural Networks (2021) Vol. 138, pp. 78-97
Open Access | Times Cited: 4
Imitation Learning of Robot Policies by Combining Language, Vision and Demonstration
Simon Stepputtis, Joseph Campbell, Mariano Phielipp, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 3
Semi-supervised Learning From Demonstration Through Program Synthesis: An Inspection Robot Case Study
Simón C. Smith, Subramanian Ramamoorthy
arXiv (Cornell University) (2020) Vol. 319, pp. 81-101
Open Access | Times Cited: 3
NeuroLISP: High-level symbolic programming with attractor neural networks
Gregory P. Davis, Garrett E. Katz, Rodolphe J. Gentili, et al.
Neural Networks (2021) Vol. 146, pp. 200-219
Open Access | Times Cited: 3
Hybrid system identification using switching density networks
Michael Burke, Yordan Hristov, Subramanian Ramamoorthy
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 2
Projection: a mechanism for human-like reasoning in Artificial Intelligence
Frank Guérin
Journal of Experimental & Theoretical Artificial Intelligence (2022) Vol. 35, Iss. 8, pp. 1269-1293
Open Access | Times Cited: 1
Learning and planning with logical automata
Brandon Araki, Kiran Vodrahalli, Thomas Leech, et al.
Autonomous Robots (2021) Vol. 45, Iss. 7, pp. 1013-1028
Open Access | Times Cited: 1
NewtonianVAE: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces
Miguel Jaques, Michael Burke, Timothy M. Hospedales
arXiv (Cornell University) (2020)
Closed Access
Explanatory machine learning for sequential human teaching
Lun Ai, Johannes Langer, Stephen Muggleton, et al.
arXiv (Cornell University) (2022)
Open Access
Self-Explainable Robots in Remote Environments
Francisco J. Chiyah Garcia, Simón C. Smith, José Lopes, et al.
(2021), pp. 662-664
Open Access
Attainment Regions in Feature-Parameter Space for High-Level Debugging in Autonomous Robots
Simón C. Smith, Subramanian Ramamoorthy
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021), pp. 6546-6551
Open Access
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