Results 11 to 20 of about 28,888,705 (209)
Cobaya: code for Bayesian analysis of hierarchical physical models [PDF]
Journal of Cosmology and Astroparticle Physics, 2020 We present , a general-purpose Bayesian analysis code aimed at models with complex internal interdependencies. Without the need for specific code by the user, interdependencies between different stages of a model pipeline are exploited for sampling ...
J. Torrado, A. Lewis
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Augmenting physical models with deep networks for complex dynamics forecasting [PDF]
International Conference on Learning Representations, 2020 Forecasting complex dynamical phenomena in settings where only partial knowledge of their dynamics is available is a prevalent problem across various scientific fields.
V. Guen +6 more
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, 2021 Prediction of the service lifetime of Photovoltaic (PV) modules is crucial for all PV stakeholders. PV manufacturers benefit from setting realistic warranties and researchers can improve the durability of PV materials and components in order to achieve a
I. Kaaya +3 more
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British medical journal, 2020 The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement, published in 2009, was designed to help systematic reviewers transparently report why the review was done, what the authors did, and what they found. Over the past
M. Page +25 more
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Super-resolution emulator of cosmological simulations using deep physical models [PDF]
Monthly notices of the Royal Astronomical Society, 2020 We present an extension of our recently developed Wasserstein optimized model to emulate accurate high-resolution (HR) features from computationally cheaper low-resolution (LR) cosmological simulations.
Doogesh Kodi Ramanah +3 more
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Physical models of collective cell motility: from cell to tissue. [PDF]
J Phys D Appl Phys, 2017 Camley BA, Rappel WJ.
europepmc +2 more sources
Physical Models of Collective Cell Migration [PDF]
Annual Review of Condensed Matter Physics, 2019 Collective cell migration is a key driver of embryonic development, wound healing, and some types of cancer invasion. Here, we provide a physical perspective of the mechanisms underlying collective cell migration. We begin with a catalog of the cell–cell
Ricard Alert, X. Trepat
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Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging: Theory, algorithms, and applications [PDF]
IEEE Signal Processing Magazine, 2022 Plug-and-play (PnP) priors constitute one of the most widely used frameworks for solving computational imaging problems through the integration of physical models and learned models. PnP leverages high-fidelity physical sensor models and powerful machine
U. Kamilov +3 more
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Frontiers in Earth Science, 2021 Turbidity currents distribute sediment across the seafloor, forming important archives of tectonic and climatic change on the Earth’s surface. Turbidity current deposition is affected by seafloor topography, therefore understanding the interaction of ...
Euan L. Soutter +7 more
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Variational training of neural network approximations of solution maps for physical models [PDF]
Journal of Computational Physics, 2019 A novel solve-training framework is proposed to train neural network in representing low dimensional solution maps of physical models. Solve-training framework uses the neural network as the ansatz of the solution map and trains the network variationally
Yingzhou Li, Jianfeng Lu, Anqi Mao
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