Computationally efficient decision making under uncertainty in high-dimensional state spaces. - Dmitry Kopitkov; Vadim Indelman (IROS, 2016)

No belief propagation required: Belief space planning in high-dimensional state spaces via factor graphs, the matrix determinant lemma, and re-use of calculation. - Dmitry Kopitkov; Vadim Indelman (Int. J. Robotics Res., 2017)

Computationally Efficient Belief Space Planning via Augmented Matrix Determinant Lemma and Reuse of Calculations. - Dmitry Kopitkov; Vadim Indelman (IEEE Robotics Autom. Lett., 2017)

Bayesian Information Recovery from CNN for Probabilistic Inference. - Dmitry Kopitkov; Vadim Indelman (IROS, 2018)

Deep PDF: Probabilistic Surface Optimization and Density Estimation. - Dmitry Kopitkov; Vadim Indelman (CoRR, 2018)

General Probabilistic Surface Optimization and Log Density Estimation. - Dmitry Kopitkov; Vadim Indelman (CoRR, 2019)

Neural Spectrum Alignment. - Dmitry Kopitkov; Vadim Indelman (CoRR, 2019)

General-purpose incremental covariance update and efficient belief space planning via a factor-graph propagation action tree. - Dmitry Kopitkov; Vadim Indelman (Int. J. Robotics Res., 2019)

Neural Spectrum Alignment: Empirical Study. - Dmitry Kopitkov; Vadim Indelman (ICANN (2), 2020)