Explore tweets tagged as #NeuralOperators
In this work, we do not focus on "discretization agnostics" property since many existing methods, excluding the #NeuralOperators ones, do not posses this fundamental property, making their relevance questionable. To address that, we also present a way to advance neural network
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#NeuralOperators for real world seismology. Full waveform inversion on a real seismic sites, San Gabriel, Chino, and San Bernardino basins in the Los Angeles metropolitan area. Steps:.1- Develop a domain-informed architecture .2- Train on generated function data resemble real
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I was invited to talk at the Department of Physics (#TXST) Colloquium and will present on “#NeuralOperators for Physics-Informed #AI in Ultrawide Bandgap (#UWBG) Semiconductor Research.”. When: April 2nd, 2025.Where: RFM-3219.Time: 5 – 6 PM
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Excited to present at NeurIPS 2024! 🎉 We propose a unified neural operator for Compressed Sensing MRI, adapting to multiple undersampling patterns/rates, with 11% SSIM & 4dB PSNR gains. Full paper & code: #NeurIPS2024 #ML #MRI #NeuralOperators
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#NeuralOperators learn physics through data. We study long term prediction capability of #NeuralOperator on a hard task of ocean emulation with variable forcing, making me think very seriously about coupled weather ocean model, #THEModel
Excited to share our recently published paper in @WileyGlobal on "Ocean Emulation With Fourier Neural Operators: Double Gyre" We used Fourier Neural Operators to build the first high-resolution weather model, FourCastNet. Since it works so well for
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One of the most used plots showing the future of #AI and #Sciences, and machine learning on function spaces, #NeuralOperators. by @JeanKossaifi @mliuschi @NKovachki @ZongyiLiCaltech, @AnimaAnandkumar
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ICML2024 Tutorial on . "Neural Operators .& Machine Learning on Function Spaces". is now out. #NeuralOperators #AInScience @nvidia @NVIDIAAI . Looking forward to building the future of this field with the bigger community, all together.
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#NeuralOperators have become a more general purpose framework tho’ it was originally developed for solving Partial Differential Equations #PDE. They are increasingly used to solve #ComputerVision problems, e.g. “Super Resolution Neural Operator” ( #CVPR23
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Previously, #NeuralOperators have been used for classical #ComputerVision problems such as inpainting & semantic segmentation; cf. “Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators” (
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Functional Operators for Memory Routing in Mixture-of-Experts (MoE). Continue Reading on Substack: #MixtureOfExperts #FunctionalRouting #Transformers #DeepLearning #NeuralOperators #AIArchitecture #satmis
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🏆 Discover the best #MLST research from 2023. 'Applications of physics informed neural operators' presents a critical analysis of #PhysicsInformed #NeuralOperators (PINOs) to solve partial differential equations (PDEs). Explore 👉
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At #NeurIPS2024, Dec 9-15th, 2024, an exciting workshop on #AI4Science, solvers, computational methods, PDEs, sciences, engineering, #NeuralOperators, PINNs, surrogate model, data-driven algorithmic computing, and MLonFunctionSpaces, . Deadline: late Aug.
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#NeuralOperators are also used for video frame interpolation (given a sequence of frames with one missing frame, predict this missing frame); Adaptive Fourier Neural Interpolation Operator ( #ComputerVision #Functions
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This Paper Addresses the Generalization Challenge by Proposing Neural Operators for Modeling Constitutive Laws. #MagneticHysteresis #AIChallenges #NeuralOperators #BusinessTransformation #AIKPI #ai #news #llm #ml #research #ainews #innovation #artificia…
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At #NeurIPS2024,.Join the D3S3 workshop on Dec 15th. We all will discuss #AInScience, solvers, #NeuralOperators, computational methods, PDEs, PINNs, and #MLonFunctions. And generally the future of AI research and technology.
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❌GP-regression --> ✅Universal functional regression. We No Longer need Gaussian assumption for functional regression. We can learn the prior over functions. We can train a #NeuralOperators to learn any Stochastic Process, give us likelihood of any collection of points, and do.
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It was great delivering the #NeuralOperators tutorial at #ICML2024 with a great turn out. Thanks everyone for attending. Here, please find the slides (video to be public in the next few days).Looking forward to the future of "ML on function spaces.".
On Monday at @icmlconf , Vienna, there is a tutorial on ML in function spaces, and a tour together on #NeuralOperators, deep learning for function spaces, #AI4Science, and scientific computing. @nvidia .Please join for an endeavor together.
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Joint work with @ashwini1024 @risteski_a @zacharylipton @zicokolter and Jianfeng Lu! We will be at #NeurIPS2023 will present our work, Poster #927 at Poster Session 6 (Thu 14 Dec 5 pm CST)! If you would like to chat about #PDEs, #NeuralOperators and #DEQs, come and say hi!.
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