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pro vyhledávání: '"Iliopoulos A"'
Knowledge Distillation (KD) has emerged as a promising approach for transferring knowledge from a larger, more complex teacher model to a smaller student model. Traditionally, KD involves training the student to mimic the teacher's output probabiliti
Externí odkaz:
http://arxiv.org/abs/2409.20449
Autor:
Amarel, James, Rudolf, Christopher, Iliopoulos, Athanasios, Michopoulos, John, Smith, Leslie N.
The present paper is concerned with deep learning techniques applied to detection and localization of damage in a thin aluminum plate. We used data collected on a tabletop apparatus by mounting to the plate four piezoelectric transducers, each of whi
Externí odkaz:
http://arxiv.org/abs/2409.06084
Graphical models for cardinal paired comparison data with and without covariates are rigorously analyzed. Novel, graph--based, necessary and sufficient conditions which guarantee strong consistency, asymptotic normality and the exponential convergenc
Externí odkaz:
http://arxiv.org/abs/2401.07018
Autor:
Iliopoulos, Jean
The year 2023 marks three anniversaries: the 150th anniversary of the French Physical Society, the 100th anniversary since the publication of Louis de Broglie's articles (the first fundamental articles of Quantum Mechanics) and the 50th anniversary o
Externí odkaz:
http://arxiv.org/abs/2311.10871
Anomaly Detection in multivariate time series is a major problem in many fields. Due to their nature, anomalies sparsely occur in real data, thus making the task of anomaly detection a challenging problem for classification algorithms to solve. Metho
Externí odkaz:
http://arxiv.org/abs/2308.03171
Autor:
Elisabeth Roider, Alexandra I. T. Lakatos, Alicia M. McConnell, Poguang Wang, Alina Mueller, Akinori Kawakami, Jennifer Tsoi, Botond L. Szabolcs, Anna A. Ascsillán, Yusuke Suita, Vivien Igras, Jennifer A. Lo, Jennifer J. Hsiao, Rebecca Lapides, Dorottya M. P. Pál, Anna S. Lengyel, Alexander Navarini, Arimichi Okazaki, Othon Iliopoulos, István Németh, Thomas G. Graeber, Leonard Zon, Roger W. Giese, Lajos V. Kemeny, David E. Fisher
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Microphthalmia-associated transcription factor (MITF) is a master regulator of melanocyte function, development and plays a significant role in melanoma pathogenesis. MITF genomic amplification promotes melanoma development, and it can facil
Externí odkaz:
https://doaj.org/article/cc94d2d3111647cfb25391c16c6a03e3
Publikováno v:
Journal of the Mechanical Behavior of Materials, Vol 25, Iss 3-4, Pp 129-139 (2016)
In this paper, we perform statistical analysis of time series deriving from four neurodegenerative disorders, namely epilepsy, amyotrophic lateral sclerosis (ALS), Parkinson’s disease (PD), Huntington’s disease (HD). The time series are concerned
Externí odkaz:
https://doaj.org/article/3f0b0adadbc84ca39118261832fe7634
Autor:
Basu, Saugata, Born, Jannis, Bose, Aritra, Capponi, Sara, Chalkia, Dimitra, Chan, Timothy A, Doga, Hakan, Flother, Frederik F., Getz, Gad, Goldsmith, Mark, Gujarati, Tanvi, Guzman-Saenz, Aldo, Iliopoulos, Dimitrios, Jones, Gavin O., Knecht, Stefan, Madan, Dhiraj, Maniscalco, Sabrina, Mariella, Nicola, Morrone, Joseph A., Najafi, Khadijeh, Pati, Pushpak, Platt, Daniel, Rapsomaniki, Maria Anna, Ray, Anupama, Rhrissorrakrai, Kahn, Shehab, Omar, Tavernelli, Ivano, Tolunay, Meltem, Utro, Filippo, Woerner, Stefan, Zhuk, Sergiy, Garcia, Jeannette M., Parida, Laxmi
In recent years, there has been tremendous progress in the development of quantum computing hardware, algorithms and services leading to the expectation that in the near future quantum computers will be capable of performing simulations for natural s
Externí odkaz:
http://arxiv.org/abs/2307.05734
Autor:
Kaler, Tim, Iliopoulos, Alexandros-Stavros, Murzynowski, Philip, Schardl, Tao B., Leiserson, Charles E., Chen, Jie
Training and inference with graph neural networks (GNNs) on massive graphs has been actively studied since the inception of GNNs, owing to the widespread use and success of GNNs in applications such as recommendation systems and financial forensics.
Externí odkaz:
http://arxiv.org/abs/2305.03152
Publikováno v:
Journal of the Mechanical Behavior of Materials, Vol 24, Iss 1-2, Pp 1-9 (2015)
Tsallis nonextensive statistics is employed to characterize serrated flow, as well as multiple shear band formation in ultrafine grain (UFG) size materials. Two such UFG materials, a bi-modal Al-Mg alloy and a Fe-Cu alloy, were chosen. In the first c
Externí odkaz:
https://doaj.org/article/f5464afae7ab470887bab23933aa662f