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Prabhat

Learning from learning machines: a new generation of AI technology to meet the needs of science

Nov 27, 2021
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Track Seeding and Labelling with Embedded-space Graph Neural Networks

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Jun 30, 2020
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MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework

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May 01, 2020
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Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs

Oct 29, 2019
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DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems

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Sep 25, 2019
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Towards Unsupervised Segmentation of Extreme Weather Events

Sep 16, 2019
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Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale

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Jul 08, 2019
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Enforcing Statistical Constraints in Generative Adversarial Networks for Modeling Chaotic Dynamical Systems

May 13, 2019
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Spherical CNNs on Unstructured Grids

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Jan 07, 2019
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Approximate Inference for Constructing Astronomical Catalogs from Images

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Oct 12, 2018
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