output
20062026
most citedTransformers are RNNs: Fast Autoregressive Transformers with Linear Attention

310 citations

Showing 2017Show all

10 papers · 1 filter

cs.RO2017★ 1 cited

Probabilistic Learning of Torque Controllers from Kinematic and Force Constraints

João Silvério, Yanlong Huang, Leonel Rozo +2

When learning skills from demonstrations, one is often required to think in advance about the appropriate task representation (usually in either operational or configuration space)…

cs.SD2017★ 204 cited

Deep Neural Networks for Multiple Speaker Detection and Localization

Weipeng He, Petr Motlicek, Jean-Marc Odobez

We propose to use neural networks for simultaneous detection and localization of multiple sound sources in human-robot interaction. In contrast to conventional signal processing te…

stat.ME2017★ 6 cited

Profile extrema for visualizing and quantifying uncertainties on excursion regions. Application to coastal flooding

Dario Azzimonti, David Ginsbourger, Jérémy Rohmer +1

We consider the problem of describing excursion sets of a real-valued function , i.e. the set of inputs where is above a fixed threshold. Such regions are hard to visualize…

cs.CL2017★ 18 cited

Self-Attentive Residual Decoder for Neural Machine Translation

Lesly Miculicich Werlen, Nikolaos Pappas, Dhananjay Ram +1

Neural sequence-to-sequence networks with attention have achieved remarkable performance for machine translation. One of the reasons for their effectiveness is their ability to cap…

astro-ph.IM2017★ 13 cited

Geometric calibration of Colour and Stereo Surface Imaging System of ESA's Trace Gas Orbiter

Stepan Tulyakov, Anton Ivanov, Nicolas Thomas +5

There are many geometric calibration methods for "standard" cameras. These methods, however, cannot be used for the calibration of telescopes with large focal lengths and complex o…

cs.RO2017★ 3 cited

Learning Task Priorities from Demonstrations

João Silvério, Sylvain Calinon, Leonel Rozo +1

Bimanual operations in humanoids offer the possibility to carry out more than one manipulation task at the same time, which in turn introduces the problem of task prioritization. W…