Zobrazeno 1 - 10
of 22 656
pro vyhledávání: '"Mira, P."'
Neural simulation-based inference (SBI) describes an emerging family of methods for Bayesian inference with intractable likelihood functions that use neural networks as surrogate models. Here we introduce sbijax, a Python package that implements a wi
Externí odkaz:
http://arxiv.org/abs/2409.19435
While COVID-19 has resulted in a significant increase in global mortality rates, the impact of the pandemic on mortality from other causes remains uncertain. To gain insight into the broader effects of COVID-19 on various causes of death, we analyze
Externí odkaz:
http://arxiv.org/abs/2409.02378
Autor:
Dutta, Subhabrata, Kaufmann, Timo, Glavaš, Goran, Habernal, Ivan, Kersting, Kristian, Kreuter, Frauke, Mezini, Mira, Gurevych, Iryna, Hüllermeier, Eyke, Schuetze, Hinrich
While there is a widespread belief that artificial general intelligence (AGI) -- or even superhuman AI -- is imminent, complex problems in expert domains are far from being solved. We argue that such problems require human-AI cooperation and that the
Externí odkaz:
http://arxiv.org/abs/2408.07461
Autor:
Liu, Mira M., Dyke, Jonathan, Gladytz, Thomas, Jasse, Jonas, Bolger, Ian, Calle, Sergio, Pavaluri, Swathi, Crews, Tanner, Seshan, Surya, Salvatore, Steven, Stillman, Isaac, Muthukumar, Thangamani, Taouli, Bachir, Farouk, Samira, Lewis, Sara, Bane, Octavia
Purpose: Estimation of multi-compartment intravoxel flow in fD in ml/100g/min with multi-b-value diffusion weighted imaging and a multi-Gaussian model in the kidneys. Theory and Methods: A multi-Gaussian model of intravoxel flow using water transport
Externí odkaz:
http://arxiv.org/abs/2408.06427
Publikováno v:
Proceedings of the Combustion Institute, 40(1-4), 105451 (2024)
A numerical study of the effects of air dilution on soot formation and particle dynamics in a lab-scale rich-quench-lean (RQL) combustor is presented using large-eddy simulations (LES) with tabulated chemistry. The modelling approach comprises a flam
Externí odkaz:
http://arxiv.org/abs/2407.16340
Autor:
Deißenbeck, Florian, Surendralal, Sudarsan, Todorova, Mira, Wippermann, Stefan, Neugebauer, Jörg
Aqueous metal corrosion is a major economic concern in modern society. A phenomenon that has puzzled generations of scientists in this field is the so-called anomalous hydrogen evolution: the violent dissolution of magnesium under electron-rich (anod
Externí odkaz:
http://arxiv.org/abs/2407.13472
Autor:
Bienvenu, Baptiste, Todorova, Mira, Neugebauer, Jörg, Raabe, Dierk, Mrovec, Matous, Lysogorskiy, Yury, Drautz, Ralf
The combined structural and electronic complexity of iron oxides poses many challenges to atomistic modeling. To leverage limitations in terms of the accessible length and time scales, one requires a physically justified interatomic potential which i
Externí odkaz:
http://arxiv.org/abs/2407.13903
In this paper, we aim to generate clean speech frame by frame from a live video stream and a noisy audio stream without relying on future inputs. To this end, we propose RT-LA-VocE, which completely re-designs every component of LA-VocE, a state-of-t
Externí odkaz:
http://arxiv.org/abs/2407.07825
Large Language Models trained on code corpora (code-LLMs) have demonstrated impressive performance in various coding assistance tasks. However, despite their increased size and training dataset, code-LLMs still have limitations such as suggesting cod
Externí odkaz:
http://arxiv.org/abs/2406.11930
Autor:
Varma, Mira, Baker, Oliver
This paper investigates the relationship between initial spatial anisotropy and final state momentum anisotropy in heavy ion collisions through the analysis of elliptic flow ($\nu_2$) as a function of transverse momentum ($p_T$). Building upon previo
Externí odkaz:
http://arxiv.org/abs/2406.10129