Zobrazeno 1 - 10
of 149 850
pro vyhledávání: '"Klaus, P."'
Autor:
Muttenthaler, Lukas, Greff, Klaus, Born, Frieda, Spitzer, Bernhard, Kornblith, Simon, Mozer, Michael C., Müller, Klaus-Robert, Unterthiner, Thomas, Lampinen, Andrew K.
Deep neural networks have achieved success across a wide range of applications, including as models of human behavior in vision tasks. However, neural network training and human learning differ in fundamental ways, and neural networks often fail to g
Externí odkaz:
http://arxiv.org/abs/2409.06509
Autor:
Bhattacharjee, Soumyadeep, Kulkarni, S. R., Kong, Albert K. H., Tam, M. S., Bond, Howard E., El-Badry, Kareem, Caiazzo, Ilaria, Graham, Matthew J., Rodriguez, Antonio C., Zeimann, Gregory R., Fremling, Christoffer, Drake, Andrew J., Werner, Klaus, Rodriguez, Hector, Prince, Thomas A., Laher, Russ R., Chen, Tracy X., Riddle, Reed
Over the past several decades, time-series photometry of CSPNe has yielded significant results including, but not limited to, discoveries of nearly 100 binary systems, insights into pulsations and winds in young white dwarfs, and studies of stars und
Externí odkaz:
http://arxiv.org/abs/2410.03589
Autor:
Perego, Marta, Agero, Clara Galante, Torà, Alexandra Mestre, Portolés, Elías, Denisov, Artem O., Taniguchi, Takashi, Watanabe, Kenji, Gaggioli, Filippo, Geshkenbein, Vadim, Blatter, Gianni, Ihn, Thomas, Ensslin, Klaus
The tunability of superconducting magic-angle twisted-layer graphene films elevates this material system to a promising candidate for superconducting electronics. We implement a gate-tuned Josephson junction in a magic-angle twisted four-layer graphe
Externí odkaz:
http://arxiv.org/abs/2410.03508
Autor:
Veyrat, Arthur, Koepernik, Klaus, Veyrat, Louis, Shipunov, Grigory, Aswartham, Saicharan, Qu, Jiang, Kumar, Ankit, Ceccardi, Michele, Caglieris, Federico, Rodríguez, Nicolás Pérez, Giraud, Romain, Büchner, Bernd, Brink, Jeroen van den, Ortix, Carmine, Dufouleur, Joseph
Topological materials, such as topological insulators or semimetals, usually not only reveal the nontrivial properties of their electronic wavefunctions through the appearance of stable boundary modes, but also through very specific electromagnetic r
Externí odkaz:
http://arxiv.org/abs/2410.02353
Based on periodic orbit theory we address the individual-system versus ensemble interpretation of quantum gravity from a quantum chaos perspective. To this end we show that the spectrum of geodesic motion on high-dimensional hyperbolic manifolds, des
Externí odkaz:
http://arxiv.org/abs/2410.02270
Generative models lack rigorous statistical guarantees for their outputs and are therefore unreliable in safety-critical applications. In this work, we propose Sequential Conformal Prediction for Generative Models (SCOPE-Gen), a sequential conformal
Externí odkaz:
http://arxiv.org/abs/2410.01660
Modern communication networks feature local fast failover mechanisms in the data plane, to swiftly respond to link failures with pre-installed rerouting rules. This paper explores resilient routing meant to tolerate $\leq k$ simultaneous link failure
Externí odkaz:
http://arxiv.org/abs/2410.02021
Autor:
Schirk, Johannes, Wallner, Florian, Huang, Longxiang, Tsitsilin, Ivan, Bruckmoser, Niklas, Koch, Leon, Bunch, David, Glaser, Niklas J., Huber, Gerhard B. P., Knudsen, Martin, Krylov, Gleb, Marx, Achim, Pfeiffer, Frederik, Richard, Lea, Roy, Federico A., Romeiro, João H., Singh, Malay, Södergren, Lasse, Dionis, Etienne, Sugny, Dominique, Werninghaus, Max, Liegener, Klaus, Schneider, Christian M. F., Filipp, Stefan
Protecting qubits from environmental noise while maintaining strong coupling for fast high-fidelity control is a central challenge for quantum information processing. Here, we demonstrate a novel control scheme for superconducting fluxonium qubits th
Externí odkaz:
http://arxiv.org/abs/2410.00495
The growth and ordering of molecules on surfaces is an intriguing research topic as insights gained here can be of significant relevance for organic electronic devices. While often simple, rigid molecules are employed as model systems, we show result
Externí odkaz:
http://arxiv.org/abs/2410.00855
Conflicting sensor measurements pose a huge problem for the environment representation of an autonomous robot. Therefore, in this paper, we address the self-assessment of an evidential grid map in which data from conflicting LiDAR sensor measurements
Externí odkaz:
http://arxiv.org/abs/2409.20286