Zobrazeno 1 - 10
of 58 498
pro vyhledávání: '"Kopp, A."'
In human interaction, gestures serve various functions such as marking speech rhythm, highlighting key elements, and supplementing information. These gestures are also observed in explanatory contexts. However, the impact of gestures on explanations
Externí odkaz:
http://arxiv.org/abs/2406.12544
Autor:
Piroli, Aldi, Dallabetta, Vinzenz, Kopp, Johannes, Walessa, Marc, Meissner, Daniel, Dietmayer, Klaus
Autonomous vehicles rely on camera, LiDAR, and radar sensors to navigate the environment. Adverse weather conditions like snow, rain, and fog are known to be problematic for both camera and LiDAR-based perception systems. Currently, it is difficult t
Externí odkaz:
http://arxiv.org/abs/2406.09945
Autor:
Piroli, Aldi, Dallabetta, Vinzenz, Kopp, Johannes, Walessa, Marc, Meissner, Daniel, Dietmayer, Klaus
Adverse weather conditions can severely affect the performance of LiDAR sensors by introducing unwanted noise in the measurements. Therefore, differentiating between noise and valid points is crucial for the reliable use of these sensors. Current app
Externí odkaz:
http://arxiv.org/abs/2406.09906
Autor:
Domcke, Valerie, Kopp, Joachim
Increased interest in pushing the frontier of gravitational wave searches to higher frequencies (kHz and beyond) has resulted in a variety of different proposed experimental concepts. A significant fraction of them are based on the coupling between c
Externí odkaz:
http://arxiv.org/abs/2406.03244
Autor:
Maleknejad, Azadeh, Kopp, Joachim
Weyl fermions of spin $\frac12$ minimally coupled to Einstein's gravity in 4 dimensions cannot be produced purely gravitationally in an expanding Universe at tree level. Surprisingly, as we showed in a recent letter [1], this changes at gravitational
Externí odkaz:
http://arxiv.org/abs/2406.01534
Faithful energy reconstruction is foundational for precision neutrino experiments like DUNE, but is hindered by uncertainties in our understanding of neutrino--nucleus interactions. Here, we demonstrate that dense neural networks are very effective i
Externí odkaz:
http://arxiv.org/abs/2405.15867
Autor:
Maleknejad, Azadeh, Kopp, Joachim
The minimal coupling of massless fermions to gravity does not allow for their gravitational production solely based on the expansion of the Universe. We argue that this changes in presence of realistic and potentially detectable stochastic gravitatio
Externí odkaz:
http://arxiv.org/abs/2405.09723
Autor:
Çöltekin, Çağrı, Kopp, Matyáš, Meden, Katja, Morkevicius, Vaidas, Ljubešić, Nikola, Erjavec, Tomaž
We introduce a dataset on political orientation and power position identification. The dataset is derived from ParlaMint, a set of comparable corpora of transcribed parliamentary speeches from 29 national and regional parliaments. We introduce the da
Externí odkaz:
http://arxiv.org/abs/2405.07363
Autor:
Beck, Maximilian, Pöppel, Korbinian, Spanring, Markus, Auer, Andreas, Prudnikova, Oleksandra, Kopp, Michael, Klambauer, Günter, Brandstetter, Johannes, Hochreiter, Sepp
In the 1990s, the constant error carousel and gating were introduced as the central ideas of the Long Short-Term Memory (LSTM). Since then, LSTMs have stood the test of time and contributed to numerous deep learning success stories, in particular the
Externí odkaz:
http://arxiv.org/abs/2405.04517
Autor:
Alt, Benjamin, Zahn, Johannes, Kienle, Claudius, Dvorak, Julia, May, Marvin, Katic, Darko, Jäkel, Rainer, Kopp, Tobias, Beetz, Michael, Lanza, Gisela
While recent advances in deep learning have demonstrated its transformative potential, its adoption for real-world manufacturing applications remains limited. We present an Explanation User Interface (XUI) for a state-of-the-art deep learning-based r
Externí odkaz:
http://arxiv.org/abs/2404.19349