Zobrazeno 1 - 10
of 15 681
pro vyhledávání: '"Krauss P"'
This study explores the potential for artificial agents to develop core consciousness, as proposed by Antonio Damasio's theory of consciousness. According to Damasio, the emergence of core consciousness relies on the integration of a self model, info
Externí odkaz:
http://arxiv.org/abs/2411.16262
Reservoir computing - information processing based on untrained recurrent neural networks with random connections - is expected to depend on the nonlinear properties of the neurons and the resulting oscillatory, chaotic, or fixpoint dynamics of the n
Externí odkaz:
http://arxiv.org/abs/2411.10047
Autor:
Krauß, Veronika, McGill, Mark, Kosch, Thomas, Thiel, Yolanda, Schön, Dominik, Gugenheimer, Jan
With the recent advancements in Large Language Models (LLMs), web developers increasingly apply their code-generation capabilities to website design. However, since these models are trained on existing designerly knowledge, they may inadvertently rep
Externí odkaz:
http://arxiv.org/abs/2411.03108
Autor:
Bothmann, Enrico, Flower, Lois, Gütschow, Christian, Höche, Stefan, Hoppe, Mareen, Isaacson, Joshua, Knobbe, Max, Krauss, Frank, Meinzinger, Peter, Napoletano, Davide, Price, Alan, Reichelt, Daniel, Schönherr, Marek, Schumann, Steffen, Siegert, Frank
Sherpa is a general-purpose Monte Carlo event generator for the simulation of particle collisions in high-energy collider experiments. We summarise new developments, essential features, and ongoing improvements within the Sherpa 3 release series. Phy
Externí odkaz:
http://arxiv.org/abs/2410.22148
Autor:
Denolle, M., Tape, C., Bozdağ, E., Wang, Y., Waldhauser, F., Gabriel, A. A., Braunmiller, J., Chow, B., Ding, L., Feng, K. F., Ghosh, A., Groebner, N., Gupta, A., Krauss, Z., McPherson, A., Nagaso, M., Niu, Z., Ni, Y., Orsvuran, R. \", Pavlis, G., Rodriguez-Cardozo, F., Sawi, T., Schliwa, N., Schneller, D., Shi, Q., Thurin, J., Wang, C., Wang, K., Wong, J. W. C., Wolf, S., Yuan, C.
With the rise of data volume and computing power, seismological research requires more advanced skills in data processing, numerical methods, and parallel computing. We present the experience of conducting training workshops over various forms of del
Externí odkaz:
http://arxiv.org/abs/2409.19147
Autor:
Cavarec, Fanny, Krauss, Philipp, Witkowski, Tiffany, Broisat, Alexis, Ghezzi, Catherine, de Gois, Stéphanie, Giros, Bruno, Depaulis, Antoine, Deransart, Colin
Publikováno v:
Epilepsia, 2019, 60 (10), pp.2128-2140
Abstract Objective In Genetic Absence Epilepsy Rats From Strasbourg ( GAERS s), epileptogenesis takes place during brain maturation and correlates with increased mRNA expression of D3 dopamine receptors (D3R). Whether these alterations are the conseq
Externí odkaz:
http://arxiv.org/abs/2409.11758
Physics-informed neural networks (PINNs) are trained using physical equations and can also incorporate unmodeled effects by learning from data. PINNs for control (PINCs) of dynamical systems are gaining interest due to their prediction speed compared
Externí odkaz:
http://arxiv.org/abs/2408.14951
This work proposes an event-triggered moving horizon estimation (ET-MHE) scheme for general nonlinear systems. The key components of the proposed scheme are a novel event-triggering mechanism (ETM) and the suitable design of the MHE cost function. Th
Externí odkaz:
http://arxiv.org/abs/2408.06208
In specific motifs of three recurrently connected neurons with probabilistic response, the spontaneous information flux, defined as the mutual information between subsequent states, has been shown to increase by adding ongoing white noise of some opt
Externí odkaz:
http://arxiv.org/abs/2408.05579
This study investigates how BERT processes and represents Argument Structure Constructions (ASCs), extending previous LSTM analyses. Using a dataset of 2000 sentences across four ASC types (transitive, ditransitive, caused-motion, resultative), we an
Externí odkaz:
http://arxiv.org/abs/2408.04270