24 citations · 27 across the 7 of their papers we have counts for
4 papers · 1 filter
Neural Spectrum Alignment: Empirical Study
Dmitry Kopitkov, Vadim Indelman
Expressiveness and generalization of deep models was recently addressed via the connection between neural networks (NNs) and kernel learning, where first-order dynamics of NN durin…
Bayesian Incremental Inference Update by Re-using Calculations from Belief Space Planning: A New Paradigm
Elad I. Farhi, Vadim Indelman
Inference and decision making under uncertainty are key processes in every autonomous system and numerous robotic problems. In recent years, the similarities between inference and…
General Purpose Incremental Covariance Update and Efficient Belief Space Planning via Factor-Graph Propagation Action Tree
Dmitry Kopitkov, Vadim Indelman
Fast covariance calculation is required both for SLAM (e.g.~in order to solve data association) and for evaluating the information-theoretic term for different candidate actions in…
General Probabilistic Surface Optimization and Log Density Estimation
Dmitry Kopitkov, Vadim Indelman
In this paper we contribute a novel algorithm family, which generalizes many unsupervised techniques including unnormalized and energy models, and allows us to infer different stat…