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- Universidade de BrasíliaBR10 papers
- Guangzhou UniversityCN9 papers
- Lincoln University - PennsylvaniaUS9 papers
- École Polytechnique Fédérale de LausanneCH7 papers
- Sobolev Institute of MathematicsRU7 papers
- University of CambridgeGB7 papers
- University of OxfordGB7 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- Technische Universität DarmstadtDE6 papers
- The University of TokyoJP6 papers
- University of GlasgowGB6 papers
- University of LeedsGB6 papers
24 papers · 1 filter
A pro-p group with infinite normal Hausdorff spectra
Benjamin Klopsch, Anitha Thillaisundaram
Using wreath products, we construct a finitely generated pro-p group G with infinite normal Hausdorff spectrum with respect to the p-power series. More precisely, we show that this…
An Algorithmic Perspective on Imitation Learning
Takayuki Osa, Joni Pajarinen, Gerhard Neumann +3
As robots and other intelligent agents move from simple environments and problems to more complex, unstructured settings, manually programming their behavior has become increasingl…
Arctic amplification metrics
Richard Davy, Linling Chen, Edward Hanna
One of the defining features of both recent and historical cases of global climate change is Arctic Amplification (AA). This is the more rapid change in the surface air temperature…
Warped Hypertime Representations for Long-term Autonomy of Mobile Robots
Tomas Krajnik, Tomas Vintr, Sergi Molina +3
This paper presents a novel method for introducing time into discrete and continuous spatial representations used in mobile robotics, by modelling long-term, pseudo-periodic variat…
Generalized finite polylogarithms
Marina Avitabile, Sandro Mattarei
We introduce a generalization of the finite polylogarithms , in characteristic , which depends on a parameter …
A Directionally Selective Neural Network with Separated ON and OFF Pathways for Translational Motion Perception in a Visually Cluttered Environment
Qinbing Fu, Nicola Bellotto, Shigang Yue
With respect to biological findings underlying fly's physiology in the past decade, we present a directionally selective neural network, with a feed-forward structure and entirely…