Zobrazeno 1 - 10
of 11 587
pro vyhledávání: '"A. Stich"'
Autor:
Julia Dietz, Christiana Graf, Christoph P. Berg, Kerstin Port, Katja Deterding, Peter Buggisch, Kai-Henrik Peiffer, Johannes Vermehren, Georg Dultz, Andreas Geier, Florian P. Reiter, Tony Bruns, Jörn M. Schattenberg, Elena Durmashkina, Thierry Gustot, Christophe Moreno, Janina Trauth, Thomas Discher, Janett Fischer, Thomas Berg, Andreas E. Kremer, Beat Müllhaupt, Stefan Zeuzem, Christoph Sarrazin, C. Antoni, A. Teufel, R. Vogelmann, M. Ebert, J. Balavoine, E. Giostra, M. Berning, J. Hampe, T. Boettler, C. Neumann-Haefelin, R. Thimme, A. De Gottardi, A. Rauch, N. Semmo, V. Ellenrieder, M. Gress, A. Herrmann, A. Stallmach, D. Hoffmann, U. Protzer, A. Kodal, M. Löbermann, T. Götze, V. Keitel-Anselmino, C.M. Lange, R. Zachoval, J. Mayerle, A. Maieron, P. Michl, U. Merle, D. Moradpour, J.-P. Chave, M. Muche, H.-J. Epple, M. Müller-Schilling, F. Kocheise, T. Müller, F. Tacke, E. Roeb, J. Rissland, M. Krawczyk, P. Schulze, D. Semela, U. Spengler, J. Rockstroh, C.P. Strassburg, J. Siebler, J. Schulze zur Wiesch, F. Piecha, J. von Felden, S. Jordan, A. Lohse, M. Sprinzl, P. Galle, R. Stauber, B. Strey, W. Steckstor, W. Schmiegel, N.H. Brockmeyer, A. Canbay, C. Trautwein, F. Uschner, J. Trebicka, T. Weber, H. Wedemeyer, M. Cornberg, M. Manns, P. Wietzke-Braun, R. Günther, K. Willuweit, G. Hilgard, H. Schmidt, E. Zizer, J. Backhus, T. Seufferlein, O. Al-Taie, W. Angeli, S. Beckebaum, A. Erhardt, A. Garrido-Lüneburg, H. Gattringer, D. Genné, M. Gschwantler, F. Gundling, S. Hametner, R. Schöfl, S. Haag, H. Heinzow, T. Heyer, C. Hirschi, A. Jussios, S. Kanzler, N. Kordecki, M. Kraus, U. Kullig, S. Wollschläger, L. Magenta, B. Terziroli Beretta-Piccoli, M. Menges, L. Mohr, K. Muehlenberg, C. Niederau, B. Paulweber, A. Petrides, M. Pinkernell, R. Piso, W. Rambach, L. Reinhardt, M. Reiser, B. Riecken, A. Rieke, J. Roth, M. Schelling, P. Schlee, A. Schneider, D. Scholz, E. Schott, M. Schuchmann, U. Schulten-Baumer, A. Seelhoff, A. Stich, F. Stickel, J. Ungemach, E. Walter, A. Weber, H. Wege, T. Winzer, W. Abels, M. Adler, F. Audebert, C. Baermann, E. Bästlein, R. Barth, K. Barthel, W. Becker, J. Behrends, J. Benninger, F. Berger, D. Berzow, T. Beyer, M. Bierbaum, O. Blaukat, A. Bodtländer, G. Böhm, N. Börner, U. Bohr, B. Bokemeyer, H.R. Bruch, D. Bucholz, P. Buggisch, K. Matschenz, J. Petersen, O. Burkhard, N. Busch, C. Chirca, R. Delker, J. Diedrich, M. Frank, M. Diehl, A.O. Tal, M. Schneider, A. Dienethal, P. Dietel, N. Dikopoulos, M. Dreck, F. Dreher, L. Drude, K. Ende, U. Ehrle, K. Baumgartl, F. Emke, R. Glosemeyer, G. Felten, D. Hüppe, J. Fischer, U. Fischer, D. Frederking, B. Frick, G. Friese, B. Gantke, P. Geyer, H.R. Schwind, M. Glas, T. Glaunsinger, F. Goebel, U. Göbel, B. Görlitz, R. Graf, H. Gruber, C. Hartmann, C. Klag, G. Härter, M. Herder, T. Heuchel, S. Heuer, H. Hinrichsen, B. Seegers, K.-H. Höffl, H. Hörster, J.-U. Sonne, W.P. Hofmann, F. Holst, M. Hunstiger, A. Hurst, E. Jägel-Guedes, C. John, M. Jung, B. Kallinowski, B. Kapzan, W. Kerzel, P. Khaykin, M. Klarhof, U. Klüppelberg, Wolfratshausen, K. Klugewitz, B. Knapp, U. Knevels, T. Kochsiek, A. Körfer, A. Köster, M. Kuhn, A. Langekamp, B. Künzig, R. Link, M. Littman, H. Löhr, T. Lutz, P. Gute, G. Knecht, U. Lutz, D. Mainz, I. Mahle, P. Maurer, S. Mauss, C. Mayer, H. Möller, R. Heyne, D. Moritzen, M. Mroß, M. Mundlos, U. Naumann, O. Nehls, K, R. Ningel, A. Oelmann, H. Olejnik, K. Gadow, E. Pascher, A. Philipp, M. Pichler, F. Polzien, R. Raddant, M. Riedel, S. Rietzler, M. Rössle, W. Rufle, A. Rump, C. Schewe, C. Hoffmann, D. Schleehauf, W. Schmidt, G. Schmidt-Heinevetter, J. Schmidtler-von Fabris, L. Schneider, A. Schober, S. Niehaus-Hahn, J. Schwenzer, T. Seidel, G. Seitel, C. Sick, K. Simon, D. Stähler, F. Stenschke, H. Steffens, K. Stein, M. Steinmüller, T. Sternfeld, K. Svensson, W. Tacke, G. Teuber, K. Teubner, J. Thieringer, A. Tomesch, U. Trappe, J. Ullrich, G. Urban, S. Usadel, A. von Lucadou, F. Weinberger, M. Werheid-Dobers, P. Werner, T. Winter, E. Zehnter, A. Zipf
Publikováno v:
JHEP Reports, Vol 6, Iss 7, Pp 101072- (2024)
Background and Aims: Data on the prevalence and characteristics of so-called rare HCV genotypes (GTs) in larger cohorts is limited. This study investigates the frequency of rare GT and resistance-associated substitutions and the efficacy of retreatme
Externí odkaz:
https://doaj.org/article/b3022f1b69714a74840eba3a2ca0a825
In developing efficient optimization algorithms, it is crucial to account for communication constraints -- a significant challenge in modern federated learning settings. The best-known communication complexity among non-accelerated algorithms is achi
Externí odkaz:
http://arxiv.org/abs/2407.07084
We present adaptive gradient methods (both basic and accelerated) for solving convex composite optimization problems in which the main part is approximately smooth (a.k.a. $(\delta, L)$-smooth) and can be accessed only via a (potentially biased) stoc
Externí odkaz:
http://arxiv.org/abs/2406.06398
Autor:
Wines, Daniel, Ahn, Jeonghwan, Benali, Anouar, Kent, Paul R. C., Krogel, Jaron T., Kwon, Yongkyung, Mitas, Lubos, Reboredo, Fernando A., Rubenstein, Brenda, Saritas, Kayahan, Shin, Hyeondeok, Štich, Ivan, Ataca, Can
The field of two-dimensional (2D) materials has grown dramatically in the last two decades. 2D materials can be utilized for a variety of next-generation optoelectronic, spintronic, clean energy, and quantum computation applications. These 2D structu
Externí odkaz:
http://arxiv.org/abs/2406.02753
Communication efficiency has garnered significant attention as it is considered the main bottleneck for large-scale decentralized Machine Learning applications in distributed and federated settings. In this regime, clients are restricted to transmitt
Externí odkaz:
http://arxiv.org/abs/2405.20114
Autor:
Patel, Kumar Kshitij, Glasgow, Margalit, Zindari, Ali, Wang, Lingxiao, Stich, Sebastian U., Cheng, Ziheng, Joshi, Nirmit, Srebro, Nathan
Local SGD is a popular optimization method in distributed learning, often outperforming other algorithms in practice, including mini-batch SGD. Despite this success, theoretically proving the dominance of local SGD in settings with reasonable data he
Externí odkaz:
http://arxiv.org/abs/2405.11667
Federated learning is a distributed optimization paradigm that allows training machine learning models across decentralized devices while keeping the data localized. The standard method, FedAvg, suffers from client drift which can hamper performance
Externí odkaz:
http://arxiv.org/abs/2404.08447
The stochastic proximal gradient method is a powerful generalization of the widely used stochastic gradient descent (SGD) method and has found numerous applications in Machine Learning. However, it is notoriously known that this method fails to conve
Externí odkaz:
http://arxiv.org/abs/2403.02967
Publikováno v:
2D Materials 11, 035036 (2024)
We analyze the spin-orbit coupling effects in a three-degree twisted bilayer heterostructure made of graphene and an in-plane ferroelectric SnTe, with the goal of transferring the spin-orbit coupling from SnTe to graphene, via the proximity effect. O
Externí odkaz:
http://arxiv.org/abs/2402.09045
The performance of optimization methods is often tied to the spectrum of the objective Hessian. Yet, conventional assumptions, such as smoothness, do often not enable us to make finely-grained convergence statements -- particularly not for non-convex
Externí odkaz:
http://arxiv.org/abs/2402.04843