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most citedCascade Extended State Observer for Active Disturbance Rejection Control Applications under Measurement Noise

198 citations

Showing 2018Show all

15 papers · 1 filter

physics.flu-dyn2018★ 91 cited

Low-order model for successive bifurcations of the fluidic pinball

Nan Deng, Bernd R. Noack, Marek Morzynski +1

We propose the first least-order Galerkin model of an incompressible flow undergoing two successive supercritical bifurcations of Hopf and pitchfork type. A key enabler is a mean-f…

cs.LG2018

Using recurrences in time and frequency within U-net architecture for speech enhancement

Tomasz Grzywalski, Szymon Drgas

When designing fully-convolutional neural network, there is a trade-off between receptive field size, number of parameters and spatial resolution of features in deeper layers of th…

math-ph2018★ 7 cited

Lax Representations for Separable Systems from Benenti Class

Maciej Błaszak, Ziemowit Domański

In this paper we construct Lax pairs for Stäckel systems with separation curves from so-called Benenti class. For each system of considered family we present an infinite family of…

cs.LG2018★ 37 cited

A no-regret generalization of hierarchical softmax to extreme multi-label classification

Marek Wydmuch, Kalina Jasinska, Mikhail Kuznetsov +2

Extreme multi-label classification (XMLC) is a problem of tagging an instance with a small subset of relevant labels chosen from an extremely large pool of possible labels. Large l…

cs.CV2018★ 1 cited

A Summary of the 4th International Workshop on Recovering 6D Object Pose

Tomas Hodan, Rigas Kouskouridas, Tae-Kyun Kim +12

This document summarizes the 4th International Workshop on Recovering 6D Object Pose which was organized in conjunction with ECCV 2018 in Munich. The workshop featured four invited…

cs.LG2018★ 80 cited

Model-Based Active Exploration

Pranav Shyam, Wojciech Jaśkowski, Faustino Gomez

Efficient exploration is an unsolved problem in Reinforcement Learning which is usually addressed by reactively rewarding the agent for fortuitously encountering novel situations.…