Our team participated in SigmaPhi 2026, the International Conference on Statistical Physics held in Kolymbari, Crete. The conference brought together leading researchers in statistical physics and its interdisciplinary applications, while also featuring discussions on topics such as climate change, artificial intelligence, and complex systems.
As part of the conference, our team contributed to three scientific presentations addressing topics at the intersection of statistical physics, machine learning, and Gaussian processes:
- Oral Presentation: “Sparse Precision (Interaction) Kernels for Machine Learning”
Authors: Dionissios Hristopulos, Athanasios Liavas, Konstantinos Bekos, Nikolaos Paraskakis
Abstract: http://sigmaphisrv.polito.it/images/2026/Abstracts/HristopulosD_2.pdf - Oral Presentation: “Karhunen-Loeve Expansion of the Brownian Oscillator Kernel”
Authors: Nikolaos Paraskakis, Dionissios Hristopulos
Abstract: http://sigmaphisrv.polito.it/images/2026/Abstracts/ParaskakisN.pdf - Poster Presentation: “Monthly Sunspot Number Forecasting using Gaussian Process Regression with Brownian Oscillator Kernel”
Authors: Konstantinos Bekos, Dionissios Hristopulos
Abstract: http://sigmaphisrv.polito.it/images/2026/Abstracts/BekosK.pdf
Our participation was subsequently featured by the regional newspaper Haniotika Nea, highlighting the conference's focus on innovative technologies and their potential applications in addressing major contemporary challenges, including climate change.
Read the full article: https://www.haniotika-nea.gr/kainotomes-technologies-sti-machi-kata-tis-klimatikis-krisis-anafores-se-diethnes-synedrio-chania/