Zobrazeno 1 - 10
of 204
pro vyhledávání: '"Rodríguez Sánchez, Antonio"'
Within the Standard Model Effective Field Theory framework, we set indirect constraints on top quark operators that violate baryon number by one unit above the TeV scale. We find that these constraints are typically many orders of magnitude more stri
Externí odkaz:
http://arxiv.org/abs/2409.00218
Autor:
Auddy, Sayantan, Hollenstein, Jakob, Saveriano, Matteo, Rodríguez-Sánchez, Antonio, Piater, Justus
Learning from demonstration (LfD) provides an efficient way to train robots. The learned motions should be convergent and stable, but to be truly effective in the real world, LfD-capable robots should also be able to remember multiple motion skills.
Externí odkaz:
http://arxiv.org/abs/2311.03600
The muon anomalous magnetic moment continues to attract attention due to the possible tension between the experimentally measured value and the theoretical Standard Model prediction. With the aim to reduce the uncertainty on the hadronic light-by-lig
Externí odkaz:
http://arxiv.org/abs/2211.17183
Autor:
Rodríguez-Sánchez, Antonio, Haller-Seeber, Simon, Peer, David, Engelhardt, Chris, Mittelberger, Jakob, Saveriano, Matteo
Affordance detection from visual input is a fundamental step in autonomous robotic manipulation. Existing solutions to the problem of affordance detection rely on convolutional neural networks. However, these networks do not consider the spatial arra
Externí odkaz:
http://arxiv.org/abs/2211.05200
The muon anomalous magnetic moment continues to attract interest due to the potential tension between experimental measurement [1,2] and the Standard Model prediction [3]. The hadronic light-by-light contribution to the magnetic moment is one of the
Externí odkaz:
http://arxiv.org/abs/2211.04068
Training deep neural networks is a very demanding task, especially challenging is how to adapt architectures to improve the performance of trained models. We can find that sometimes, shallow networks generalize better than deep networks, and the addi
Externí odkaz:
http://arxiv.org/abs/2208.01134
Measurements of angular correlations in nuclear beta decay are important tests of the Standard Model (SM). Among those, the so-called D correlation parameter occupies a particular place because it is odd under time reversal, and because the experimen
Externí odkaz:
http://arxiv.org/abs/2207.02161
Using the spectral functions measured in $\tau$ decays, we investigate the actual numerical impact of duality violations on the extraction of the strong coupling. These effects are tiny in the standard $\alpha_s(m_\tau^2)$ determinations from integra
Externí odkaz:
http://arxiv.org/abs/2205.07587
Autor:
Auddy, Sayantan, Hollenstein, Jakob, Saveriano, Matteo, Rodríguez-Sánchez, Antonio, Piater, Justus
Methods for teaching motion skills to robots focus on training for a single skill at a time. Robots capable of learning from demonstration can considerably benefit from the added ability to learn new movement skills without forgetting what was learne
Externí odkaz:
http://arxiv.org/abs/2202.06843
Capsule networks are a class of neural networks that achieved promising results on many computer vision tasks. However, baseline capsule networks have failed to reach state-of-the-art results on more complex datasets due to the high computation and m
Externí odkaz:
http://arxiv.org/abs/2201.11091