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Dmitry Kopitkov
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No belief propagation required: Belief space planning in high-dimensional state spaces via factor graphs, the matrix determinant lemma, and re-use of calculation
D Kopitkov, V Indelman
The International Journal of Robotics Research 36 (10), 1088-1130, 2017
322017
Neural spectrum alignment: Empirical study
D Kopitkov, V Indelman
Artificial Neural Networks and Machine Learning–ICANN 2020: 29th …, 2020
272020
General-purpose incremental covariance update and efficient belief space planning via a factor-graph propagation action tree
D Kopitkov, V Indelman
The International Journal of Robotics Research 38 (14), 1644-1673, 2019
152019
Robot localization through information recovered from cnn classificators
D Kopitkov, V Indelman
IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS). IEEE, 2018
82018
Bayesian information recovery from CNN for probabilistic inference
D Kopitkov, V Indelman
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
52018
Computationally efficient belief space planning via augmented matrix determinant lemma and reuse of calculations
D Kopitkov, V Indelman
IEEE Robotics and Automation Letters 2 (2), 506-513, 2016
32016
Computationally efficient decision making under uncertainty in high-dimensional state spaces
D Kopitkov, V Indelman
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
32016
General probabilistic surface optimization and log density estimation
D Kopitkov, V Indelman
arXiv preprint arXiv:1903.10567, 2019
22019
Deep PDF: Probabilistic surface optimization and density estimation
D Kopitkov, V Indelman
arXiv preprint arXiv:1807.10728, 2018
22018
Computationally efficient active inference in high-dimensional state spaces
D Kopitkov, V Indelman
workshop on AI for Long-term Autonomy, in conjunction with the Intl. Conf …, 2016
12016
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