Zobrazeno 1 - 10
of 2 015
pro vyhledávání: '"P, Athanasiadis"'
Autor:
Fletcher, Luan, van der Klis, Robert, Sedláček, Martin, Vasilev, Stefan, Athanasiadis, Christos
Publikováno v:
Transactions on Machine Learning Research 2024
The growing reproducibility crisis in machine learning has brought forward a need for careful examination of research findings. This paper investigates the claims made by Lei et al. (2023) regarding their proposed method, LICO, for enhancing post-hoc
Externí odkaz:
http://arxiv.org/abs/2410.13989
This article concerns the face enumeration of augmented Bergman complexes of matroids, introduced by Braden, Huh, Matherne, Proudfoot and Wang. We prove that the augmented Bergman complex of any matroid admits a convex ear decomposition and deduce th
Externí odkaz:
http://arxiv.org/abs/2410.08812
Autor:
Marcos, Diego, van de Vlasakker, Robert, Athanasiadis, Ioannis N., Bonnet, Pierre, Goeau, Hervé, Joly, Alexis, Kissling, W. Daniel, Leblanc, César, van Proosdij, André S. J., Panousis, Konstantinos P.
Plant morphological traits, their observable characteristics, are fundamental to understand the role played by each species within their ecosystem. However, compiling trait information for even a moderate number of species is a demanding task that ma
Externí odkaz:
http://arxiv.org/abs/2409.17179
Variational Autoencoders (VAEs) are a popular framework for unsupervised learning and data generation. A plethora of methods have been proposed focusing on improving VAEs, with the incorporation of adversarial objectives and the integration of prior
Externí odkaz:
http://arxiv.org/abs/2408.13805
Autor:
Sitokonstantinou, Vasileios, Porras, Emiliano Díaz Salas, Bautista, Jordi Cerdà, Piles, Maria, Athanasiadis, Ioannis, Kerner, Hannah, Martini, Giulia, Sweet, Lily-belle, Tsoumas, Ilias, Zscheischler, Jakob, Camps-Valls, Gustau
In a changing climate, sustainable agriculture is essential for food security and environmental health. However, it is challenging to understand the complex interactions among its biophysical, social, and economic components. Predictive machine learn
Externí odkaz:
http://arxiv.org/abs/2408.13155
Autor:
Tsoumplekas, Georgios, Athanasiadis, Christos L., Doukas, Dimitrios I., Chrysopoulos, Antonios, Mitkas, Pericles A.
Despite the rapid expansion of smart grids and large volumes of data at the individual consumer level, there are still various cases where adequate data collection to train accurate load forecasting models is challenging or even impossible. This pape
Externí odkaz:
http://arxiv.org/abs/2406.05887
Autor:
Younis, Omar G., Corinzia, Luca, Athanasiadis, Ioannis N., Krause, Andreas, Buhmann, Joachim M., Turchetta, Matteo
Crop breeding is crucial in improving agricultural productivity while potentially decreasing land usage, greenhouse gas emissions, and water consumption. However, breeding programs are challenging due to long turnover times, high-dimensional decision
Externí odkaz:
http://arxiv.org/abs/2406.03932
The concept of a fully interlacing matrix of formal power series with real coefficients is introduced. This concept extends and strengthens that of an interlacing sequence of real-rooted polynomials with nonnegative coefficients, in the special case
Externí odkaz:
http://arxiv.org/abs/2404.12989
Autor:
Athanasiadis, Christos A.
The local $h$-polynomial was introduced by Stanley as a fundamental enumerative invariant of a triangulation $\Delta$ of a simplex. This polynomial is known to have nonnegative and symmetric coefficients and is conjectured to be $\gamma$-positive whe
Externí odkaz:
http://arxiv.org/abs/2402.06219
Autor:
Tsoumas, Ilias, Sitokonstantinou, Vasileios, Giannarakis, Georgios, Lampiri, Evagelia, Athanassiou, Christos, Camps-Valls, Gustau, Kontoes, Charalampos, Athanasiadis, Ioannis
Pesticides serve as a common tool in agricultural pest control but significantly contribute to the climate crisis. To combat this, Integrated Pest Management (IPM) stands as a climate-smart alternative. Despite its potential, IPM faces low adoption r
Externí odkaz:
http://arxiv.org/abs/2312.04343