Miguel Liu-Schiaffini
@mliuschi
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RT @AnimaAnandkumar: Neural Operators – Deep learning at any resolution. Extending neural networks to function spaces: While many phenomena….
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RT @AnimaAnandkumar: 2024 was a pivotal year for AI+Science. Our team made exciting contributions. Here are some highlights: .
tensorlab.cms.caltech.edu
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RT @JeanKossaifi: Introducing NeuralOperator 1.0: a Python library that aims at democratizing neural operators for scientific applications….
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RT @JeanKossaifi: This release was long in the making and the result of a large group effort. Check out our white paper: .
arxiv.org
We present NeuralOperator, an open-source Python library for operator learning. Neural operators generalize neural networks to maps between function spaces instead of finite-dimensional Euclidean...
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RT @armeetjatyani: Excited to present at NeurIPS 2024! 🎉 We propose a unified neural operator for Compressed Sensing MRI, adapting to multi….
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RT @ZongyiLiCaltech: #NeurIPS I am on the 2024-25 job market seeking faculty positions and postdocs! My goal is to advance AI for scientifi….
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📢 Come by our #ICML2024 poster "Neural Operators with Localized Integral and Differential Kernels"! . 🚀 We propose two extensions of standard convolutional layers to operator learning!. Location: Poster #216, 11:30 - 13:00 CEST. @AnimaAnandkumar @julberner @Azizzadenesheli
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RT @julberner: Drop by our #ICML2024 posters to chat about neural operators and PDE solvers.1⃣Solving Poisson Eqs. using Neural Walk-on-Sph….
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RT @HongChulNam: 📢Check out our work at #ICML2024 on solving high-dimensional Poisson equations using neural Walk-on-Spheres (WoS) . ⚡️ fas….
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