Zobrazeno 1 - 10
of 9 807
pro vyhledávání: '"Gottschalk, P"'
Autor:
Gottschalk, Jonas, Stellmer, Simon
Experiments in the field of quantum optics often require very low concentrations of dust particles in the laboratory, but the complexity of working routines precludes operation within a proper clean room. Research teams have established a multitude o
Externí odkaz:
http://arxiv.org/abs/2409.18325
Semantic segmentation networks have achieved significant success under the assumption of independent and identically distributed data. However, these networks often struggle to detect anomalies from unknown semantic classes due to the limited set of
Externí odkaz:
http://arxiv.org/abs/2409.17330
Autor:
Hon, Marc, Huber, Daniel, Li, Yaguang, Metcalfe, Travis S., Bedding, Timothy R., Ong, Joel, Chontos, Ashley, Rubenzahl, Ryan, Halverson, Samuel, García, Rafael A., Kjeldsen, Hans, Stello, Dennis, Hey, Daniel R., Campante, Tiago, Howard, Andrew W., Gibson, Steven R., Rider, Kodi, Roy, Arpita, Baker, Ashley D., Edelstein, Jerry, Smith, Chris, Fulton, Benjamin J., Walawender, Josh, Brodheim, Max, Brown, Matt, Chan, Dwight, Dai, Fei, Deich, William, Gottschalk, Colby, Grillo, Jason, Hale, Dave, Hill, Grant M., Holden, Bradford, Householder, Aaron, Isaacson, Howard, Ishikawa, Yuzo, Jelinsky, Sharon R., Kassis, Marc, Kaye, Stephen, Laher, Russ, Lanclos, Kyle, Lee, Chien-Hsiu, Lilley, Scott, McCarney, Ben, Miller, Timothy N., Payne, Joel, Petigura, Erik A., Poppett, Claire, Raffanti, Michael, Rockosi, Constance, Sanford, Dale, Schwab, Christian, Shaum, Abby P., Sirk, Martin M., Smith, Roger, Thorne, Jim, Valliant, John, Vandenberg, Adam, Wang, Shin Ywan, Wishnow, Edward, Wold, Truman, Yeh, Sherry, Baker, Ashley, Basu, Sarbani, Bedell, Megan, Cegla, Heather M., Crossfield, Ian, Dressing, Courtney, Dumusque, Xavier, Knutson, Heather, Mawet, Dimitri, O'Meara, John, Stefánsson, Guðmundur, Teske, Johanna, Vasisht, Gautam, Wang, Sharon Xuesong, Weiss, Lauren M., Winn, Joshua N., Wright, Jason T.
Asteroseismology of dwarf stars cooler than the Sun is very challenging due to the low amplitudes and rapid timescales of oscillations. Here, we present the asteroseismic detection of solar-like oscillations at 4-minute timescales ($\nu_{\mathrm{max}
Externí odkaz:
http://arxiv.org/abs/2407.21234
This paper focuses on hyperparameter optimization for autonomous driving strategies based on Reinforcement Learning. We provide a detailed description of training the RL agent in a simulation environment. Subsequently, we employ Efficient Global Opti
Externí odkaz:
http://arxiv.org/abs/2407.14262
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
Large Vision Language Models (LVLMs) have shown remarkable capabilities in multimodal tasks like visual question answering or image captioning. However, inconsistencies between the visual information and the generated text, a phenomenon referred to a
Externí odkaz:
http://arxiv.org/abs/2405.19186
We quantify the uncertainty of the L\"ammer model of damage evolution when fitted to (noisy) observations of damage evolution in cyclic fatigue experiments with and without dwell time. We therefore develop a bootstrap method by sampling over blocks o
Externí odkaz:
http://arxiv.org/abs/2405.17858
Autor:
Bogdoll, Daniel, Hamdard, Iramm, Rößler, Lukas Namgyu, Geisler, Felix, Bayram, Muhammed, Wang, Felix, Imhof, Jan, de Campos, Miguel, Tabarov, Anushervon, Yang, Yitian, Gottschalk, Hanno, Zöllner, J. Marius
The scale-up of autonomous vehicles depends heavily on their ability to deal with anomalies, such as rare objects on the road. In order to handle such situations, it is necessary to detect anomalies in the first place. Anomaly detection for autonomou
Externí odkaz:
http://arxiv.org/abs/2405.07865
We propose a two-component data-driven controller to safely perform docking maneuvers for satellites. Reinforcement Learning is used to deduce an optimal control policy based on measurement data. To safeguard the learning phase, an additional feedbac
Externí odkaz:
http://arxiv.org/abs/2402.08306
Autor:
Finstrom, D., Gottschalk, E.
Modernizing the Fermilab accelerator control system is essential to future operations of the laboratory's accelerator complex. The existing control system has evolved over four decades and uses hardware that is no longer available and software that u
Externí odkaz:
http://arxiv.org/abs/2401.02291