4 papers
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…
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…
Deep PDF: Probabilistic Surface Optimization and Density Estimation
Dmitry Kopitkov, Vadim Indelman
A probability density function (pdf) encodes the entire stochastic knowledge about data distribution, where data may represent stochastic observations in robotics, transition state…