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Blending Diverse Physical Priors with Neural Networks
[article]
2019
arXiv
pre-print
Preserved Fulltext
Machine learning in context of physical systems merits a re-examination of the learning strategy. In addition to data, one can leverage a vast library of physical prior models (e.g. kinematics, fluid flow, etc) to perform more robust inference. The nascent sub-field of physics-based learning (PBL) studies the blending of neural networks with physical priors. While previous PBL algorithms have been applied successfully to specific tasks, it is hard to generalize existing PBL methods to a wide
arXiv:1910.00201v1
fatcat:ixzodscwu5gutbv3zbaozil7wi
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... ge of physics-based problems. Such generalization would require an architecture that can adapt to variations in the correctness of the physics, or in the quality of training data. No such architecture exists. In this paper, we aim to generalize PBL, by making a first attempt to bring neural architecture search (NAS) to the realm of PBL. We introduce a new method known as physics-based neural architecture search (PhysicsNAS) that is a top-performer across a diverse range of quality in the physical model and the dataset.
Visual Physics: Discovering Physical Laws from Videos
[article]
2019
arXiv
pre-print
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In this paper, we teach a machine to discover the laws of physics from video streams. We assume no prior knowledge of physics, beyond a temporal stream of bounding boxes. The problem is very difficult because a machine must learn not only a governing equation (e.g. projectile motion) but also the existence of governing parameters (e.g. velocities). We evaluate our ability to discover physical laws on videos of elementary physical phenomena, such as projectile motion or circular motion. These
arXiv:1911.11893v1
fatcat:ilzvb33jjjhgvcisnsgkfbcgrm
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... mentary tasks have textbook governing equations and enable ground truth verification of our approach.
The Conceptual Metaphor of Governance in The Governance of China
2021
OALib
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For example, "dào cǎo rén," "dìng dìng zǐ," "shí liú zǐ," "kěn yìng gǔ tóu," and "gōng chéng bá zhài." ...
doi:10.4236/oalib.1108147
fatcat:65lsr75icrglxjayu27y7icnxu
Deep Shape from Polarization
[article]
2020
arXiv
pre-print
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This paper makes a first attempt to bring the Shape from Polarization (SfP) problem to the realm of deep learning. The previous state-of-the-art methods for SfP have been purely physics-based. We see value in these principled models, and blend these physical models as priors into a neural network architecture. This proposed approach achieves results that exceed the previous state-of-the-art on a challenging dataset we introduce. This dataset consists of polarization images taken over a range of
arXiv:1903.10210v2
fatcat:u34mldx2ybb5raxjxxksrbffke
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... object textures, paints, and lighting conditions. We report that our proposed method achieves the lowest test error on each tested condition in our dataset, showing the value of blending data-driven and physics-driven approaches.
GIS, prosopography and history
2012
Annals of GIS
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Chengdu
: Ba Shu shu she
, 2001.
Wang Zicai
, and Feng Yunhao
. Ye Shi
. Ye Shi Ji
. Beijing
: Zhonghua shuju
, 1961.
Zhou Mengjiang
. Ye Shi Yu Yongjia Xue Pai
. ...
Da Jun Shou Chen Yi Ti Kao (Chengdu: Ba Shu shu she, 2001), Song Liang Hu Da Jun Shou Chen Yi Ti Kao (Chengdu: Ba Shu shu she, 2001), Song Liang Huai Da Jun Shou Chen Yi Ti Kao (Chengdu: Ba Shu shu she ...
doi:10.1080/19475683.2011.647077
fatcat:dfww4gmaozct3jtseb5kvw63ny
In-plane ordering of O vacancies in a high-Tc cuprate superconductor with compressed Cu-O octahedrons: a first-principles cluster expansion study
[article]
2019
arXiv
pre-print
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We take 2 4 2 2 CuO CuO (1 ) 2 2 Ba Ba E E δ δ − + as the reference energy at any . ...
The green, purple and red colors represent Ba, Cu, O atoms, respectively. (b) The presence of in-plane O vacancies in the CuO2 plane can be mapped to an Ising-like lattice. ...
arXiv:1909.08304v2
fatcat:s7p6krjbp5gutg2c4tl5og2eda
Table of Contents
2020
2020 Management Science Informatization and Economic Innovation Development Conference (MSIEID)
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China), Rui Zhang (Xiamen University of Technology, China), and Qiaozhen Lin (Xiamen University of Technology, China) Research on an Interpretable Real-Time Information Recommendation Model Based on BAS-ICF ...
Technology, China) Comparison between Autoregression Model and Gaussian Process Model on Stock Price Prediction: A Case Study with the Microsoft Stock 164 Ruihan Zhang (Renmin University of China, China), Yunhao ...
doi:10.1109/msieid52046.2020.00004
fatcat:ycmp4amwljh2rmw6syni2jzz2q
A Distributed Benchmarking Framework for Actual ET Models
[chapter]
2012
Evapotranspiration - Remote Sensing and Modeling
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One of the many candidate for inclusion was the Two-Source Algorithm (TSA) from Yunhao et al. (2005) . ...
The first equation answers to the geographical two-source proportion within the pixel, while the second equation answers to the two-source flux merging according to Yunhao et al. (2005) . ...
doi:10.5772/23571
fatcat:32j3sbdjkjdrhnryfn636onfqi
Facile Fabrication of Bio‐ and Dual‐Functional Poly(2‐oxazoline) Bottle‐Brush Brush Surfaces
2019
Chemistry - A European Journal
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[5b] The resultant PIPOx brusha nd POx BBB show homogeneous surface morphologies with low roughness (Rms) of 1.8 and 1.2 nm, respectively,a si nvestigated by AFM (Figure S2 ba nd S2 f). ...
doi:10.1002/chem.201905326
pmid:31826315
pmcid:PMC7064997
fatcat:sfjdezg4bnfcfl3bysxs5ptila
Rumor Spreading and Degree-Related Preference Mechanism on a Small-World Network
2012
Sociology Mind
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The number of nodes supporting rumor 1 and 2 is well approximated, which is similar in BA networks as the critical degree m 0 is increased. ...
A variant of the threshold model has been used, for example, in (Guardiola, 2002) for describing diffusion of innovations in a population, and the effects of network topology have been analyzed by Yunhao ...
doi:10.4236/sm.2012.24061
fatcat:md2tcks3qvbizk7jbamfmcfbom
A facile, versatile approach to hydroxyl-anchored metal oxides with high Cr(VI) adsorption performance in water treatment
2016
Royal Society Open Science
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Ba(II), Pb(II), Cd(III), Cr(III), Cr(VI), As(III), As(V), Co(II), Cu(II), Ni(II), Zn(II) and Hg(II)) in water has become a topic of worldwide concern as it brings many severe challenges to the public health ...
doi:10.1098/rsos.160524
pmid:28018639
pmcid:PMC5180137
fatcat:e3ysxlglgzbyzkx5bdz3lw3umu
Effects of Electron Microscope Parameters and Sample Thickness on High Angle Annular Dark Field Imaging
2022
Scanning
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Besides, the spots of Ba atom are larger at small convergence angle, but smaller at large convergence angle. ...
doi:10.1155/2022/8503314
pmid:35360524
pmcid:PMC8958084
fatcat:xh2ilitc3zgwnkut5j4sd22svy
Éloge de la pause : aperçu des signes de ponctuation dans les Festes nouvelles manuscrites et imprimées (XIVe-XVIe siècles)
2021
Çédille: Revista de Estudios Franceses
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En répondant à ce besoin venant du bas, un texte devient donc de plus en plus sectionné, morcelé ou même parcellisé dans les moindres détails. ...
Si la pratique de cette coupure dans (1d) correspond à l'attente d'un lecteur moderne -un point au bas de la ligne suivi d'une initiale majuscule de la phrase suivante, la pratique dans (1a) et (1b) -la ...
doi:10.25145/j.cedille.2021.19.11
fatcat:irhigzavh5fizlheg7g5cqho2a
Imaging Insights of Isolated Idiopathic Dystonia: Voxel-Based Morphometry and Activation Likelihood Estimation Studies
2022
Frontiers in Neurology
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Peak MNI coordinate
TABLE 3 | 3 Continued Peak MNI coordinate
TABLE 3 | 3 Continued Peak MNI coordinate BA, Brodmann's Area; AAL, Anatomical Automatic Labeling; R, right; L, left; -, not defined. ...
The GMV in the bilateral temporal gyrus, parahippocampal gyrus, left frontal gyrus (mainly located in left BA9, 10, 44), left pre/postcentral gyrus (BA 4), and cerebellum posterior lobe (vermis_4_5, vermis ...
doi:10.3389/fneur.2022.823882
pmid:35557619
pmcid:PMC9087834
fatcat:4xz2yq4cc5dgfdsoz4ut7octee
Taylor Expansion of Discount Factors
[article]
2021
arXiv
pre-print
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Yunhao thanks Tadashi Kozuno and Shipra Agrawal for discussions on the discrepancy between policy gradient theory and practices. ...
Yunhao acknowledges the support from Google Cloud Platform for computational resources. The authors also thank Pooria Joulani for reviewing a draft of the paper. ...
Both parameters θ, φ are trained with the Adam optimizer (Kingma and Ba, 2014) with learning rate α = 3 · 10 −4 . ...
arXiv:2106.06170v2
fatcat:jr4c7d3ohvf6xhl4i6mgnjfknm
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