Présidents de session
Friday morning
- Thomas Vuillaume (LAPP, Univ. Savoie Mont-Blanc, CNRS)
Neural Simulation-Based Inference (NSBI) is a powerful class of machine learning (ML)-based methods for statistical inference that naturally handle high dimensional parameter estimation without the need to bin data into low-dimensional summary histograms. Such methods are promising for a range of measurements at the Large Hadron Collider, where no single observable may be optimal to scan over...
The Fair Universe project organised the HiggsML Uncertainty Challenge, is taking place from September 2024 to 15 March 2025. This is a [NeurIPS 2025 competition] (https://blog.neurips.cc/2024/06/04/neurips-2024-competitions-announced/).
This groundbreaking competition in high-energy physics (HEP) and machine learning was the first to place a strong emphasis on uncertainties, focusing on...
In this presentation, we will explore the application of machine learning techniques in cosmology, focusing on the analysis of Cosmic Microwave Background (CMB) maps. Accurately calculating the tensor-to-scalar ratio from CMB data is a crucial yet challenging task, as it holds the key to understanding primordial gravitational waves and the early universe's inflationary period. I will discuss...
The use of deep learning in ecology and ethology offers transformative possibilities, enabling non-invasive and more efficient methodologies for individual identification and behavioral analysis on video. A first study focused on the development of tools with deep learning to automatically detect and identify individual Japanese macaques (Macaca fuscata) with the goal of generating a reliable...
The CNRS AI Center for Science and Science for AI (AISSAI, https://aissai.cnrs.fr/) aims to structure and organize cross-disciplinary actions involving all CNRS institutes at the interfaces with AI. AISSAI became in January 2024 a CNRS support and research unit (UAR2036). The center fosters dialogue between scientific disciplines interacting with AI, addresses domain-specific strategic issues...
Currently, artificial intelligence (AI) is a rapidly growing field. These methods can assist in solving very challenging problems, thus providing significant time savings in finding solutions. The methods are diverse and evolve quickly, making it very beneficial to come together, share knowledge, train, and capitalize on our expertise. This is the purpose of the IntheArt group focused on AI...
