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      "extra_author": "Houman Owhadi",
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      "extra_author": "Houman Owhadi",
            
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    },
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      "extra_author": "Robert M. Kirby",
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      "extra_author": "Robert M. Kirby",
            
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      "title": "Multitask Learning"
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      "title": "Multitask Learning"
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Physics-informed machine learning",
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      "display_name": "Physics-informed machine learning",
            
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      "name": "physics-informed-machine-learning",
            
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      "title": "Physics-informed machine learning"
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      "title": "Physics-informed machine learning"
            
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  "notes": "Physics-informed machine learning (PIML) as a means of 
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  "notes": "Physics-informed machine learning (PIML) as a means of 
            
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solving partial differential equations (PDE) has garnered much 
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solving partial differential equations (PDE) has garnered much 
            
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attention in the Computational Science and Engineering (CS&E) world. 
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attention in the Computational Science and Engineering (CS&E) world. 
            
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This topic encompasses a broad array of methods and models aimed at 
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This topic encompasses a broad array of methods and models aimed at 
            
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solving a single or a collection of PDE problems, called multitask 
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solving a single or a collection of PDE problems, called multitask 
            
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learning.",
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  ],
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  "title": "Kolmogorov n-Widths for Multitask Physics-Informed Machine 
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  "title": "Kolmogorov n-Widths for Multitask Physics-Informed Machine 
            
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Learning",
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Learning",
            
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}