Zobrazeno 1 - 10
of 115 712
pro vyhledávání: '"A Baumann"'
How can robots learn and adapt to new tasks and situations with little data? Systematic exploration and simulation are crucial tools for efficient robot learning. We present a novel black-box policy search algorithm focused on data-efficient policy i
Externí odkaz:
http://arxiv.org/abs/2411.14246
The numerical method of dynamical low-rank approximation (DLRA) has recently been applied to various kinetic equations showing a significant reduction of the computational effort. In this paper, we apply this concept to the linear Boltzmann-Bhatnagar
Externí odkaz:
http://arxiv.org/abs/2411.06844
Autor:
Rox, Hannes, Ränke, Fabian, Mädler, Jonathan, Marzec, Mateusz M., Sokolowski, Krystian, Baumann, Robert, Hamedi, Homa, Yang, Xuegeng, Mutschke, Gerd, Urbas, Leon, Lasagni, Andrés Fabián, Eckert, Kerstin
Laser-structuring techniques like Direct Laser Interference Patterning show great potential for optimizing electrodes for water electrolysis. Therefore, a systematic experimental study based on statistical design of experiments is performed to analyz
Externí odkaz:
http://arxiv.org/abs/2411.03373
Recently, an interesting pattern was found in the differential equations satisfied by the Feynman integrals describing tree-level correlators of conformally coupled scalars in a power-law FRW cosmology [1,2]. It was proven that simple and universal g
Externí odkaz:
http://arxiv.org/abs/2410.17994
Advances in lightweight neural networks have revolutionized computer vision in a broad range of IoT applications, encompassing remote monitoring and process automation. However, the detection of small objects, which is crucial for many of these appli
Externí odkaz:
http://arxiv.org/abs/2410.16769
There exists a dictionary between hereditary orders and smooth stacky curves, resp. tame orders of global dimension 2 and Azumaya algebras on smooth stacky surfaces. We extend this dictionary by explaining how the restriction of a tame order to a cur
Externí odkaz:
http://arxiv.org/abs/2410.07620
Predictive Spliner: Data-Driven Overtaking in Autonomous Racing Using Opponent Trajectory Prediction
Autor:
Baumann, Nicolas, Ghignone, Edoardo, Hu, Cheng, Hildisch, Benedict, Hämmerle, Tino, Bettoni, Alessandro, Carron, Andrea, Xie, Lei, Magno, Michele
Head-to-head racing against opponents is a challenging and emerging topic in the domain of autonomous racing. We propose Predictive Spliner, a data-driven overtaking planner that learns the behavior of opponents through Gaussian Process (GP) regressi
Externí odkaz:
http://arxiv.org/abs/2410.04868
Autor:
Kramer, Oliver, Baumann, Jill
We propose cognitive prompting as a novel approach to guide problem-solving in large language models (LLMs) through structured, human-like cognitive operations such as goal clarification, decomposition, filtering, abstraction, and pattern recognition
Externí odkaz:
http://arxiv.org/abs/2410.02953
The remarkable ecological success of humans is often attributed to our ability to develop complex cultural artefacts that enable us to cope with environmental challenges. The evolution of complex culture (cumulative cultural evolution) is usually mod
Externí odkaz:
http://arxiv.org/abs/2410.00780
Autor:
Jaffali, Hamza, de Araujo, Jonas Bastos, Milazzo, Nadia, Reina, Marta, de Boutray, Henri, Baumann, Karla, Holweck, Frédéric
In this article, we introduce an original hybrid quantum-classical algorithm based on a variational quantum algorithm for solving systems of differential equations. The algorithm relies on a spectral method, which involves encoding the solution funct
Externí odkaz:
http://arxiv.org/abs/2410.01130