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Dmitry Kopitkov
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2020 – today
- 2020
- [c3]Dmitry Kopitkov, Vadim Indelman:
Neural Spectrum Alignment: Empirical Study. ICANN (2) 2020: 168-179
2010 – 2019
- 2019
- [j3]Dmitry Kopitkov, Vadim Indelman:
General-purpose incremental covariance update and efficient belief space planning via a factor-graph propagation action tree. Int. J. Robotics Res. 38(14) (2019) - [i4]Dmitry Kopitkov, Vadim Indelman:
General Probabilistic Surface Optimization and Log Density Estimation. CoRR abs/1903.10567 (2019) - [i3]Dmitry Kopitkov, Vadim Indelman:
General Purpose Incremental Covariance Update and Efficient Belief Space Planning via Factor-Graph Propagation Action Tree. CoRR abs/1906.02249 (2019) - [i2]Dmitry Kopitkov, Vadim Indelman:
Neural Spectrum Alignment. CoRR abs/1910.08720 (2019) - 2018
- [c2]Dmitry Kopitkov, Vadim Indelman:
Bayesian Information Recovery from CNN for Probabilistic Inference. IROS 2018: 7795-7802 - [i1]Dmitry Kopitkov, Vadim Indelman:
Deep PDF: Probabilistic Surface Optimization and Density Estimation. CoRR abs/1807.10728 (2018) - 2017
- [j2]Dmitry Kopitkov, Vadim Indelman:
No belief propagation required: Belief space planning in high-dimensional state spaces via factor graphs, the matrix determinant lemma, and re-use of calculation. Int. J. Robotics Res. 36(10): 1088-1130 (2017) - [j1]Dmitry Kopitkov, Vadim Indelman:
Computationally Efficient Belief Space Planning via Augmented Matrix Determinant Lemma and Reuse of Calculations. IEEE Robotics Autom. Lett. 2(2): 506-513 (2017) - 2016
- [c1]Dmitry Kopitkov, Vadim Indelman:
Computationally efficient decision making under uncertainty in high-dimensional state spaces. IROS 2016: 1793-1800
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