Zobrazeno 1 - 10
of 3 148
pro vyhledávání: '"Laio, A."'
We introduce the Binless Multidimensional Thermodynamic Integration (BMTI) method for nonparametric, robust, and data-efficient density estimation. BMTI estimates the logarithm of the density by initially computing log-density differences between nei
Externí odkaz:
http://arxiv.org/abs/2407.08094
We propose a sampling algorithm relying on a collective variable (CV) of mid-size dimension modelled by a normalizing flow and using non-equilibrium dynamics to propose full configurational moves from the proposition of a refreshed value of the CV ma
Externí odkaz:
http://arxiv.org/abs/2406.01524
Autor:
Cheng, Emily, Doimo, Diego, Kervadec, Corentin, Macocco, Iuri, Yu, Jade, Laio, Alessandro, Baroni, Marco
A language model (LM) is a mapping from a linguistic context to an output token. However, much remains to be known about this mapping, including how its geometric properties relate to its function. We take a high-level geometric approach to its analy
Externí odkaz:
http://arxiv.org/abs/2405.15471
The Intrinsic Dimension (ID) is a key concept in unsupervised learning and feature selection, as it is a lower bound to the number of variables which are necessary to describe a system. However, in almost any real-world dataset the ID depends on the
Externí odkaz:
http://arxiv.org/abs/2405.15132
Autor:
Wild, Romina, Sozio, Emanuela, Margiotta, Riccardo G., Dellai, Fabiana, Acquasanta, Angela, Del Ben, Fabio, Tascini, Carlo, Curcio, Francesco, Laio, Alessandro
Clinical databases typically include, for each patient, many heterogeneous features, for example blood exams, the clinical history before the onset of the disease, the evolution of the symptoms, the results of imaging exams, and many others. We here
Externí odkaz:
http://arxiv.org/abs/2404.14275
Detecting recurrent weather patterns and understanding the transitions between such regimes are key to advancing our knowledge on the low-frequency variability of the atmosphere and have important implications in terms of weather and climate-related
Externí odkaz:
http://arxiv.org/abs/2309.06833
Maximizing oil production from gas-lifted oil wells entails solving Mixed-Integer Linear Programs (MILPs). As the parameters of the wells, such as the basic-sediment-to-water ratio and the gas-oil ratio, are updated, the problems must be repeatedly s
Externí odkaz:
http://arxiv.org/abs/2309.00197
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Urgent climate action, especially carbon emissions reduction, is required to achieve sustainable goals. Therefore, understanding the drivers of and predicting $$\hbox {CO}_2$$ emissions is a compelling matter. We present two global modeling
Externí odkaz:
https://doaj.org/article/ba4dd4338a0a4e17b740aa6806315e62
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Complex networks are powerful mathematical tools for modelling and understanding the behaviour of highly interconnected systems. However, existing methods for analyzing these networks focus on local properties (e.g. degree distribution, clus
Externí odkaz:
https://doaj.org/article/b58d2121646b45e395ed86adee774fb1
We introduce an approach which allows detecting causal relationships between variables for which the time evolution is available. Causality is assessed by a variational scheme based on the Information Imbalance of distance ranks, a statistical test c
Externí odkaz:
http://arxiv.org/abs/2305.10817