Zobrazeno 1 - 10
of 85 468
pro vyhledávání: '"Jónás A"'
Autor:
Nüßlein, Jonas, Zorn, Maximilian, Ritz, Fabian, Stein, Jonas, Stenzel, Gerhard, Schönberger, Julian, Gabor, Thomas, Linnhoff-Popien, Claudia
Reinforcement Learning (RL) policies are designed to predict actions based on current observations to maximize cumulative future rewards. In real-world applications (i.e., non-simulated environments), sensors are essential for measuring the current s
Externí odkaz:
http://arxiv.org/abs/2412.07686
Autor:
Nüßlein, Jonas, Sünkel, Leo, Stein, Jonas, Rohe, Tobias, Schuman, Daniëlle, Linnhoff-Popien, Claudia, Feld, Sebastian
QAOA is a quantum algorithm for solving combinatorial optimization problems. It is capable of searching for the minimizing solution vector $x$ of a QUBO problem $x^TQx$. The number of two-qubit CNOT gates in the QAOA circuit scales linearly in the nu
Externí odkaz:
http://arxiv.org/abs/2411.08824
Autor:
Alshehri, Azzah, Bürger, Jan, Chopra, Saransh, Eich, Niclas, Eppelt, Jonas, Erdmann, Martin, Eschle, Jonas, Fackeldey, Peter, Farkas, Maté, Feickert, Matthew, Fillinger, Tristan, Fischer, Benjamin, Gerlach, Lino Oscar, Hartmann, Nikolai, Heidelbach, Alexander, Held, Alexander, Ivanov, Marian I, Molina, Josué, Nikitenko, Yaroslav, Osborne, Ianna, Padulano, Vincenzo Eduardo, Pivarski, Jim, Praz, Cyrille, Rieger, Marcel, Rodrigues, Eduardo, Shadura, Oksana, Smieško, Juraj, Stark, Giordon Holtsberg, Steinfeld, Judith, Warkentin, Angela
The second PyHEP.dev workshop, part of the "Python in HEP Developers" series organized by the HEP Software Foundation (HSF), took place in Aachen, Germany, from August 26 to 30, 2024. This gathering brought together nearly 30 Python package developer
Externí odkaz:
http://arxiv.org/abs/2410.02112
In image reconstruction, an accurate quantification of uncertainty is of great importance for informed decision making. Here, the Bayesian approach to inverse problems can be used: the image is represented through a random function that incorporates
Externí odkaz:
http://arxiv.org/abs/2412.10248
Zero-shot named entity recognition (NER) is the task of detecting named entities of specific types (such as 'Person' or 'Medicine') without any training examples. Current research increasingly relies on large synthetic datasets, automatically generat
Externí odkaz:
http://arxiv.org/abs/2412.10121
Autor:
Crisp, Alison L., Klüter, Jonas, Newman, Marz L., Penny, Matthew T., Beatty, Thomas G., Cleeves, L. Ilsedore, Collins, Karen A., Johnson, Jennifer A., Johnson, Marshall C., Lund, Michael B., Martínez-Vázquez, Clara E., Ness, Melissa K., Rodriguez, Joseph E., Siverd, Robert, Stevens, Daniel J., Villanueva, Steven, Ziegler, Carl
The first generation of transiting planet searches in globular clusters yielded no detections, and in hindsight, only placed occurrence rate limits slightly higher than the measured occurrence rate in the higher-metallicity Galactic thick disk. To im
Externí odkaz:
http://arxiv.org/abs/2412.09705
Deterministically solving charged particle transport problems at a sufficient spatial and angular resolution is often prohibitively expensive, especially due to their highly forward peaked scattering. We propose a model order reduction approach which
Externí odkaz:
http://arxiv.org/abs/2412.09484
Autor:
Rosén, Tomas, Yao, Zisheng, Tejbo, Jonas, Wegele, Patrick, Rogalinski, Julia K., Nilsson, Frida, Mom, Kannara, Hu, Zhe, McDonald, Samuel A., Nygård, Kim, Mazzolari, Andrea, Groetsch, Alexander, Gordeyeva, Korneliya, Söderberg, L. Daniel, Lundell, Fredrik, Wittberg, Lisa Prahl, Asimakopoulou, Eleni Myrto, Villanueva-Perez, Pablo
Multiphase flows, characterized by the presence of particles, bubbles, or droplets dispersed within a fluid, are ubiquitous in natural and industrial processes. Studying densely dispersed flows in 4D (3D + time) at very small scales without introduci
Externí odkaz:
http://arxiv.org/abs/2412.09368
Autor:
Runkel, Christina, Gandikota, Kanchana Vaishnavi, Geiping, Jonas, Schönlieb, Carola-Bibiane, Moeller, Michael
Being able to reconstruct training data from the parameters of a neural network is a major privacy concern. Previous works have shown that reconstructing training data, under certain circumstances, is possible. In this work, we analyse such reconstru
Externí odkaz:
http://arxiv.org/abs/2412.08544
Autor:
Ohland, Jonas Benjamin, Lebas, Nathalie, Deo, Vincent, Guyon, Olivier, Mathieu, François, Audebert, Patrick, Papadopoulos, Dimitrios
Traditional wavefront control in high-energy, high-intensity laser systems usually lacks real-time capability, failing to address dynamic aberrations. This limits experimental accuracy due to shot-to-shot fluctuations and necessitates long cool-down
Externí odkaz:
http://arxiv.org/abs/2412.08418