Zobrazeno 1 - 10
of 12 416
pro vyhledávání: '"Jorg, P."'
Autor:
Chaudhuri, Jayeeta, Nassar, Hassan, Gnad, Dennis R. E., Henkel, Jorg, Tahoori, Mehdi B., Chakrabarty, Krishnendu
FPGAs are now ubiquitous in cloud computing infrastructures and reconfigurable system-on-chip, particularly for AI acceleration. Major cloud service providers such as Amazon and Microsoft are increasingly incorporating FPGAs for specialized compute-i
Externí odkaz:
http://arxiv.org/abs/2410.16497
Autor:
Nguyen, Tung, Zhang, Qiuyi, Yang, Bangding, Lee, Chansoo, Bornschein, Jorg, Miao, Yingjie, Perel, Sagi, Chen, Yutian, Song, Xingyou
Bayesian Optimization is ubiquitous in the field of experimental design and blackbox optimization for improving search efficiency, but has been traditionally restricted to regression models which are only applicable to fixed search spaces and tabular
Externí odkaz:
http://arxiv.org/abs/2410.10190
Autor:
Hutcheson, Anthony L., Feroci, Marco, Argan, Andrea, Antonelli, Matias, Barbera, Marco, Bayer, Jorg, Bellutti, Pierluigi, Bertuccio, Giuseppe, Bonvicini, Valter, Cadoux, Franck, Campana, Riccardo, Vignali, Matteo Centis, Ceraudo, Francesco, Christophersen, Marc, Cirrincione, Daniela, D'Anca, Fabio, De Angelis, Nicolas, De Rosa, Alessandra, Della Casa, Giovanni, Del Monte, Ettore, Dilillo, Giuseppe, Evangelista, Yuri, Favre, Yannick, Ficorella, Francesco, Fiorini, Mauro, Ford, Jeremy J., Grassi, Marco, Grove, J. Eric, Guzman, Alejandro, Heddermann, Paul, Kole, Merlin R., Cicero, Ugo Lo, Lombardi, Giovanni, Malcovati, Piero, Michalska, Malgorzata, Meuris, Aline, Minervini, Gabriele, Nowosielski, Witold, Nuti, Alessio, Pacciani, Luigi, Pepponi, Giancarlo, Persyn, Steven C., Picciotto, Antonino, Pliego, Samuel, Rachevski, Alexander, Rashevskaya, Irina, Ray, Paul S., Samusenko, Alina, Santangelo, Andrea, Schanne, Stephane, Schwendeman, Carl L., Sleator, Clio, Smith, Jacob R., Sveda, Libor, Svoboda, Jiri, Tenzer, Christoph, Todaro, Michela, Trois, Alessio, Vacchi, Andrea, Xiong, Hao, Wang, Xianqi, Wu, Xin, Wulf, Eric A., Zampa, Gianluigi, Zampa, Nicola, Zdziarski, Andrzej, Zorzi, Nicola
Publikováno v:
J. Astron. Telesc. Instrum. Syst. 10(4) 042503 (26 October 2024)
The High Energy Modular Array (HEMA) is one of three instruments that compose the STROBE-X mission concept. The HEMA is a large-area, high-throughput non-imaging pointed instrument based on the Large Area Detector developed as part of the LOFT missio
Externí odkaz:
http://arxiv.org/abs/2410.08346
Autor:
Weiser, Paul, Langs, Georg, Bogner, Wolfgang, Motyka, Stanislav, Strasser, Bernhard, Golland, Polina, Singh, Nalini, Dietrich, Jorg, Uhlmann, Erik, Batchelor, Tracy, Cahill, Daniel, Hoffmann, Malte, Klauser, Antoine, Andronesi, Ovidiu C.
Introduction: Altered neurometabolism is an important pathological mechanism in many neurological diseases and brain cancer, which can be mapped non-invasively by Magnetic Resonance Spectroscopic Imaging (MRSI). Advanced MRSI using non-cartesian comp
Externí odkaz:
http://arxiv.org/abs/2409.18303
Autor:
Wulfmeier, Markus, Bloesch, Michael, Vieillard, Nino, Ahuja, Arun, Bornschein, Jorg, Huang, Sandy, Sokolov, Artem, Barnes, Matt, Desjardins, Guillaume, Bewley, Alex, Bechtle, Sarah Maria Elisabeth, Springenberg, Jost Tobias, Momchev, Nikola, Bachem, Olivier, Geist, Matthieu, Riedmiller, Martin
The majority of language model training builds on imitation learning. It covers pretraining, supervised fine-tuning, and affects the starting conditions for reinforcement learning from human feedback (RLHF). The simplicity and scalability of maximum
Externí odkaz:
http://arxiv.org/abs/2409.01369
Autor:
Mandi, Jayanta, Foschini, Marco, Holler, Daniel, Thiebaux, Sylvie, Hoffmann, Jorg, Guns, Tias
In many automated planning applications, action costs can be hard to specify. An example is the time needed to travel through a certain road segment, which depends on many factors, such as the current weather conditions. A natural way to address this
Externí odkaz:
http://arxiv.org/abs/2408.06876
Autor:
Shay, Michael, Adhikari, Subash, Beesho, Naoki, Birn, Joachim, Buechner, Jorg, Cassak, Paul, Chen, Li-Jen, Chen, Yuxi, Cozzani, Giulia, Drake, Jim, Guo, Fan, Hesse, Michael, Jain, Neeraj, Pfau-Kempf, Yann, Lin, Yu, Liu, Yi-Hsin, Oka, Mitsuo, Omelchenko, Yuri A., Palmroth, Minna, Pezzi, Oreste, Reiff, Patricia H., Swisdak, Marc, Toffoletto, Frank, Toth, Gabor, Wolf, Richard A.
Simulations have played a critical role in the advancement of our knowledge of magnetic reconnection. However, due to the inherently multiscale nature of reconnection, it is impossible to simulate all physics at all scales. For this reason, a wide ra
Externí odkaz:
http://arxiv.org/abs/2406.05901
With the continuous evolution of computational devices, more and more applications are being executed remotely. The applications operate on a wide spectrum of devices, ranging from IoT nodes with low computational capabilities to large cloud provider
Externí odkaz:
http://arxiv.org/abs/2404.02608
Decoding EEG signals is crucial for unraveling human brain and advancing brain-computer interfaces. Traditional machine learning algorithms have been hindered by the high noise levels and inherent inter-person variations in EEG signals. Recent advanc
Externí odkaz:
http://arxiv.org/abs/2403.15489
In this paper, we explore a new generative approach for learning visual representations. Our method, DARL, employs a decoder-only Transformer to predict image patches autoregressively. We find that training with Mean Squared Error (MSE) alone leads t
Externí odkaz:
http://arxiv.org/abs/2403.05196