Zobrazeno 1 - 10
of 328
pro vyhledávání: '"RODRÍGUEZ, ALEX"'
The concept of a learning healthcare system (LHS) envisions a self-improving network where multimodal data from patient care are continuously analyzed to enhance future healthcare outcomes. However, realizing this vision faces significant challenges
Externí odkaz:
http://arxiv.org/abs/2409.19756
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
To gain insight into the mechanisms behind machine learning methods, it is crucial to establish connections among the features describing data points. However, these correlations often exhibit a high-dimensional and strongly nonlinear nature, which m
Externí odkaz:
http://arxiv.org/abs/2406.15812
The increase of legislative concerns towards the usage of Artificial Intelligence (AI) has recently led to a series of regulations striving for a more transparent, trustworthy and accountable AI. Along with these proposals, the field of Explainable A
Externí odkaz:
http://arxiv.org/abs/2406.14349
Autor:
Rodriguez, Alex
We show that every Jordan quadrilateral $Q\subset\mathbb{C}$ contains a disk $D$ so that $\partial D\cap\partial Q$ contains points of three different sides of $Q$. As a consequence, together with some modulus estimates from Lehto and Virtanen, we of
Externí odkaz:
http://arxiv.org/abs/2405.18301
Autor:
Banerjee, Debarshi, Azizi, Khatereh, Egan, Colin K., Donkor, Edward Danquah, Malosso, Cesare, Di Pino, Solana, Miron, Gonzalo Diaz, Stella, Martina, Sormani, Giulia, Hozana, Germaine Neza, Monti, Marta, Morzan, Uriel N., Rodriguez, Alex, Cassone, Giuseppe, Jelic, Asja, Scherlis, Damian, Hassanali, Ali
Publikováno v:
Chem. Phys. Rev. 5, 021308 (2024)
The use of computer simulations to study the properties of aqueous systems is, today more than ever, an active area of research. In this context, during the last decade there has been a tremendous growth in the use of data-driven approaches to develo
Externí odkaz:
http://arxiv.org/abs/2403.06236
Autor:
Donkor, Edward Danquah, Offei-Danso, Adu, Rodriguez, Alex, Sciortino, Francesco, Hassanali, Ali
The presence of a second critical point in water has been a topic of intense investigation for the last few decades. The molecular origins underlying this phenomenon are typically rationalized in terms of the competition between local high-density (H
Externí odkaz:
http://arxiv.org/abs/2401.16245
Autor:
Testa, Renzo, Rodriguez, Alex, d'Onofrio, Alberto, Trombettoni, Andrea, Benatti, Fabio, Anselmi, Fabio
Optimizing the probability of quantum tunneling between two states, while keeping the resources of the underlying physical system constant, is a task of key importance due to its critical role in various applications. We show that, by applying Machin
Externí odkaz:
http://arxiv.org/abs/2310.10165
Autor:
Di Pino, Solana, Donkor, Edward Danquah, Sánchez, Verónica M., Rodriguez, Alex, Cassone, Giuseppe, Scherlis, Damian, Hassanali, Ali
Publikováno v:
J. Phys. Chem. B, 2023, 127(45), 9822-9832
The structure of the excess proton in liquid water has been the subject of lively debate from both experimental and theoretical fronts for the last century. Fluctuations of the proton are typically interpreted in terms of limiting states referred to
Externí odkaz:
http://arxiv.org/abs/2308.15319
Autor:
Panda, Rajat K., Verdel, Roberto, Rodriguez, Alex, Sun, Hanlin, Bianconi, Ginestra, Dalmonte, Marcello
We provide and critically analyze a framework to learn critical behavior in classical partition functions through the application of non-parametric methods to data sets of thermal configurations. We illustrate our approach in phase transitions in 2D
Externí odkaz:
http://arxiv.org/abs/2308.13636