Search Results - "Thiry, Louis"
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Pushing the frontiers of density functionals by solving the fractional electron problem
Published in Science (American Association for the Advancement of Science) (10-12-2021)“…Density functional theory describes matter at the quantum level, but all popular approximations suffer from systematic errors that arise from the violation of…”
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A Unified Formulation of Quasi‐Geostrophic and Shallow Water Equations via Projection
Published in Journal of advances in modeling earth systems (01-10-2024)“…This paper introduces a unified model for layered rotating shallow‐water (RSW) and quasi‐geostrophic (QG) equations, based on the intrinsic relationship…”
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A constraint-based collision model for Cosserat rods
Published in Archive of applied mechanics (1991) (15-02-2019)“…The present paper provides a collision model for Cosserat rods, able to represent a very general collision response, including frictional effects as well as…”
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MQGeometry-1.0: a multi-layer quasi-geostrophic solver on non-rectangular geometries
Published in Geoscientific Model Development (28-02-2024)“…This paper presents MQGeometry, a multi-layer quasi-geostrophic (QG) equation solver for non-rectangular geometries. We advect the potential vorticity (PV)…”
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Response to Comment on “Pushing the frontiers of density functionals by solving the fractional electron problem”
Published in Science (American Association for the Advancement of Science) (05-08-2022)“…Gerasimov et al . claim that the ability of DM21 to respect fractional charge (FC) and fractional spin (FS) conditions outside of the training set has not been…”
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Classification-Denoising Networks
Published 04-10-2024“…Image classification and denoising suffer from complementary issues of lack of robustness or partially ignoring conditioning information. We argue that they…”
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Black carbon plumes from gas flaring in North Africa identified from multi-spectral imagery with deep learning
Published 10-06-2024“…Black carbon (BC) is an important pollutant aerosol emitted by numerous human activities, including gas flaring. Improper combustion in flaring activities can…”
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Quasi-geostrophic projection of rotating shallow-water equations
Published 15-03-2024“…With a new unifying model for layered rotating shallow-water (RSW) and quasi-geostrophic (QG) equations, this paper sheds light on the relation between these…”
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Diptychs of human and machine perceptions
Published 12-10-2020“…creativity workshop NeurIPS 2020 We propose visual creations that put differences in algorithms and humans \emph{perceptions} into perspective. We exploit…”
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Modified (hyper-)viscosity for coarse-resolution ocean models
Published 29-04-2022“…We present a simple parameterization for coarse-resolution ocean models. To replace computationally expensive high-resolution ocean models, we develop a…”
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Interactive Neural Style Transfer with Artists
Published 14-03-2020“…We present interactive painting processes in which a painter and various neural style transfer algorithms interact on a real canvas. Understanding what these…”
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The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods
Published 19-01-2021“…International Conference on Learning Representation (ICLR 2021), 2021, Vienna (online), Austria A recent line of work showed that various forms of…”
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Dialog on a canvas with a machine
Published 10-10-2019“…creativity workshop NeurIPS 2020 We propose a new form of human-machine interaction. It is a pictorial game consisting of interactive rounds of creation…”
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Deep Network Classification by Scattering and Homotopy Dictionary Learning
Published 08-10-2019“…We introduce a sparse scattering deep convolutional neural network, which provides a simple model to analyze properties of deep representation learning for…”
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Solid Harmonic Wavelet Scattering for Predictions of Molecule Properties
Published 01-05-2018“…J. Chem. Phys. 148, 241732 (2018) We present a machine learning algorithm for the prediction of molecule properties inspired by ideas from density functional…”
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Kymatio: Scattering Transforms in Python
Published 28-12-2018“…The wavelet scattering transform is an invariant signal representation suitable for many signal processing and machine learning applications. We present the…”
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