Zobrazeno 1 - 10
of 5 795
pro vyhledávání: '"A, Ziogas"'
Autor:
Gianinazzi, Lukas, Ziogas, Alexandros Nikolaos, Huang, Langwen, Luczynski, Piotr, Ashkboos, Saleh, Scheidl, Florian, Carigiet, Armon, Ge, Chio, Abubaker, Nabil, Besta, Maciej, Ben-Nun, Tal, Hoefler, Torsten
Publikováno v:
PPoPP'24: Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (2024) 404-416
We propose a novel approach to iterated sparse matrix dense matrix multiplication, a fundamental computational kernel in scientific computing and graph neural network training. In cases where matrix sizes exceed the memory of a single compute node, d
Externí odkaz:
http://arxiv.org/abs/2402.19364
Autor:
Weilenmann, Christoph, Ziogas, Alexandros, Zellweger, Till, Portner, Kevin, Mladenović, Marko, Kaniselvan, Manasa, Moraitis, Timoleon, Luisier, Mathieu, Emboras, Alexandros
Biological neural networks do not only include long-term memory and weight multiplication capabilities, as commonly assumed in artificial neural networks, but also more complex functions such as short-term memory, short-term plasticity, and meta-plas
Externí odkaz:
http://arxiv.org/abs/2402.16628
Self-supervised learning (SSL) for automated speech recognition in terms of its emotional content, can be heavily degraded by the presence noise, affecting the efficiency of modeling the intricate temporal and spectral informative structures of speec
Externí odkaz:
http://arxiv.org/abs/2402.06923
Autor:
Schaad, Philipp, Schneider, Timo, Ben-Nun, Tal, Calotoiu, Alexandru, Ziogas, Alexandros Nikolaos, Hoefler, Torsten
The current hardware landscape and application scale is driving performance engineers towards writing bespoke optimizations. Verifying such optimizations, and generating minimal failing cases, is important for robustness in the face of changing progr
Externí odkaz:
http://arxiv.org/abs/2306.16178
Publikováno v:
JHEP09(2023)019
We study the quasi-hydrodynamics of a system with a softly broken $U(1)$ global symmetry using effective field theory (EFT) and holographic methods. In the gravity side, we consider a holographic Proca model in the limit of small bulk mass, which is
Externí odkaz:
http://arxiv.org/abs/2304.14173
Autor:
Pullar-Strecker, Zac, Chang, Xinglong, Brydon, Liam, Ziogas, Ioannis, Dost, Katharina, Wicker, Jörg
Running complex sets of machine learning experiments is challenging and time-consuming due to the lack of a unified framework. This leaves researchers forced to spend time implementing necessary features such as parallelization, caching, and checkpoi
Externí odkaz:
http://arxiv.org/abs/2304.09175
Autor:
Christoph Weilenmann, Alexandros Nikolaos Ziogas, Till Zellweger, Kevin Portner, Marko Mladenović, Manasa Kaniselvan, Timoleon Moraitis, Mathieu Luisier, Alexandros Emboras
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Biological neural networks do not only include long-term memory and weight multiplication capabilities, as commonly assumed in artificial neural networks, but also more complex functions such as short-term memory, short-term plasticity, and
Externí odkaz:
https://doaj.org/article/a24f297471764226825bbfa23e486945
Autor:
Georgios Tziatzios, Dimitrios Ι. Ziogas, Paraskevas Gkolfakis, Vasilios Papadopoulos, Apostolis Papaefthymiou, Nikoletta Mathou, Athanasios Giannakopoulos, Gerasimos Gerasimatos, Konstantina D. Paraskeva, Konstantinos Triantafyllou
Publikováno v:
Current Oncology, Vol 31, Iss 7, Pp 3923-3938 (2024)
Gastric cancer remains a disease with an ominous prognosis, while early gastric cancer has a good-to-excellent prognosis, with 5-year survival rates of up to 92.6% after successful endoscopic resection. In this context, the accurate identification of
Externí odkaz:
https://doaj.org/article/21799c58d82e4f72abb78d651919e3e6
Autor:
Theocharopoulos, Charalampos, Ziogas, Ioannis A., Douligeris, Charalampos-Christos, Efstathiou, Andreas, Kolorizos, Epaminondas, Ziogas, Dimitrios C., Kontis, Elissaios
Publikováno v:
In Cancer Treatment Reviews September 2024 129
Publikováno v:
World Journal of Pediatric Surgery, Vol 7, Iss 3 (2024)
Hirschsprung-associated enterocolitis (HAEC) is an important cause of morbidity and the leading cause of mortality in patients with Hirschsprung disease. The pathophysiology of disease includes dysmotility of the enteric nervous system, dysbiosis of
Externí odkaz:
https://doaj.org/article/5ce2431de50f44d896adac07dfd9d8ee