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Hayden Schaeffer

VICON: Vision In-Context Operator Networks for Multi-Physics Fluid Dynamics Prediction

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Nov 25, 2024
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DeepONet as a Multi-Operator Extrapolation Model: Distributed Pretraining with Physics-Informed Fine-Tuning

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Nov 11, 2024
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Time-Series Forecasting, Knowledge Distillation, and Refinement within a Multimodal PDE Foundation Model

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Sep 17, 2024
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PROSE-FD: A Multimodal PDE Foundation Model for Learning Multiple Operators for Forecasting Fluid Dynamics

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Sep 15, 2024
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LeMON: Learning to Learn Multi-Operator Networks

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Aug 28, 2024
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Towards a Foundation Model for Partial Differential Equations: Multi-Operator Learning and Extrapolation

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Apr 19, 2024
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D2NO: Efficient Handling of Heterogeneous Input Function Spaces with Distributed Deep Neural Operators

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Oct 29, 2023
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PROSE: Predicting Operators and Symbolic Expressions using Multimodal Transformers

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Sep 28, 2023
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Random Feature Models for Learning Interacting Dynamical Systems

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Dec 11, 2022
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Concentration of Random Feature Matrices in High-Dimensions

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Apr 14, 2022
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