Zobrazeno 1 - 10
of 47 301
pro vyhledávání: '"Jan, M."'
The emergent dynamics in spacetime diagrams of cellular automata (CAs) is often organised by means of a number of behavioural classes. Whilst classification of elementary CAs is feasible and well-studied, non-elementary CAs are generally too diverse
Externí odkaz:
http://arxiv.org/abs/2409.02740
Publikováno v:
Cellular Automata. ACRI 2024. Lecture Notes in Computer Science, vol 14978. Springer, Cham., 2024
Cellular automata (CAs) and convolutional neural networks (CNNs) are closely related due to the local nature of information processing. The connection between these topics is beneficial to both related fields, for conceptual as well as practical reas
Externí odkaz:
http://arxiv.org/abs/2409.02722
We study a random game in which two players in turn play a fixed number of moves. For each move, there are two possible choices. To each possible outcome of the game we assign a winner in an i.i.d. fashion with a fixed parameter p. In the case where
Externí odkaz:
http://arxiv.org/abs/2409.02660
Higher-order interactions (HOIs) have the potential to greatly increase our understanding of ecological interaction networks beyond what is possible with established models that usually consider only pairwise interactions between organisms. While equ
Externí odkaz:
http://arxiv.org/abs/2408.14209
We have investigated the title question for both a subset of the W4-11 total atomization energies benchmark, and for the A24x8 noncovalent interactions benchmark. Overall, counterpoise corrections to post-CCSD(T) contributions are about two orders of
Externí odkaz:
http://arxiv.org/abs/2408.10034
Functional approaches are the only first principle QCD setup that allow for direct computations at finite density. Predictive power and quantitative reliability of the respective results can only be obtained within a systematic expansion scheme with
Externí odkaz:
http://arxiv.org/abs/2408.08413
Autor:
Kirchdorfer, Lukas, Elich, Cathrin, Kutsche, Simon, Stuckenschmidt, Heiner, Schott, Lukas, Köhler, Jan M.
With the rise of neural networks in various domains, multi-task learning (MTL) gained significant relevance. A key challenge in MTL is balancing individual task losses during neural network training to improve performance and efficiency through knowl
Externí odkaz:
http://arxiv.org/abs/2408.07985
We predict a near-threshold ("zero energy") peak in multi-photon ionization for a dynamical regime where the photon frequency is large compared to the binding energy of the electron. The peak position does not depend on the laser frequency, but on th
Externí odkaz:
http://arxiv.org/abs/2407.16270
Autor:
Sager, Pascal J., Deriu, Jan M., Grewe, Benjamin F., Stadelmann, Thilo, von der Malsburg, Christoph
We present a novel intelligent-system architecture called "Dynamic Net Architecture" (DNA) that relies on recurrence-stabilized networks and discuss it in application to vision. Our architecture models a (cerebral cortical) area wherein elementary fe
Externí odkaz:
http://arxiv.org/abs/2407.05650
A method for preparing Fe tips suitable for spectroscopy in a room temperature ultra-high vacuum system is presented.
Comment: 6 figures, 4 pages
Comment: 6 figures, 4 pages
Externí odkaz:
http://arxiv.org/abs/2406.15220