24 citations · 27 across the 7 of their papers we have counts for
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cs.LG2019
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…
cs.LG2019
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…
cs.LG2018
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…