Row 7465

Row ID: 7465 | Dataset Entry | Axioma AXP Content Repository

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Hi all. I am recently getting started into Neural Operators and their application in PDE driven problems. It would be great if someone with experience could share how DeepONet and Fourier Neural Operator compare to each other. More specifically when it comes to their application in a huge spatio-temporal domain, efficiency and implementation in inverse problems.

Cheers.

FieldValue
text Hi all. I am recently getting started into Neural Operators and their application in PDE driven problems. It would be great if someone with experience could share how DeepONet and Fourier Neural Operator compare to each other. More specifically when it comes to their application in a huge spatio-temporal domain, efficiency and implementation in inverse problems. Cheers.
label r/machinelearning
dataType post
communityName r/MachineLearning
datetime 2024-05-16
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Raw Record

{
  "text": "Hi all. I am recently getting started into Neural Operators and their application in PDE driven problems. It would be great if someone with experience could share how DeepONet and Fourier Neural Operator compare to each other. More specifically when it comes to their application in a huge spatio-temporal domain, efficiency and implementation in inverse problems. \n\nCheers.",
  "label": "r/machinelearning",
  "dataType": "post",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-16",
  "username_encoded": "Z0FBQUFBQm5LakwzYnVpM0RWc3pvMjA1VjBRS0lKZGc5aWRpTG1mVUs0UkswYWpzYnNndXByN3hwaU1jMzlXMExpQWl0Q3ZrdnhDYmN6N24tVnVlM0x3N3Y1WXVicEQ5Q1E9PQ==",
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}
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