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  "access_rights": "",
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  "author": "Jingtao Ding",
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  "author": "Jingtao Ding",
            
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  "doi": "10.57702/rptqo3fm",
            
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  "doi_date_published": "2024-12-02",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Yuan Yuan",
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      "extra_author": "Yuan Yuan",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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    {
            
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      "extra_author": "Chenyang Shao",
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      "extra_author": "Chenyang Shao",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Depeng Jin",
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      "extra_author": "Depeng Jin",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Yong Li",
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      "extra_author": "Yong Li",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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      "description": "",
            
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      "name": "diffusion-models",
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      "name": "diffusion-models",
            
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      "title": "Diffusion Models"
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Spatio-temporal point processes",
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      "display_name": "Spatio-temporal point processes",
            
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      "name": "spatio-temporal-point-processes",
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      "name": "spatio-temporal-point-processes",
            
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      "title": "Spatio-temporal point processes"
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      "title": "Spatio-temporal point processes"
            
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    }
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ithub.com/tsinghua-fib-lab/Spatio-temporal-Diffusion-Point-Processes",
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ithub.com/tsinghua-fib-lab/Spatio-temporal-Diffusion-Point-Processes",
            
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  "name": "spatio-temporal-diffusion-point-processes",
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  "name": "spatio-temporal-diffusion-point-processes",
            
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  "notes": "Spatio-temporal point process (STPP) is a stochastic 
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  "notes": "Spatio-temporal point process (STPP) is a stochastic 
            
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collection of points, where each point denotes an event x = (t, s) 
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collection of points, where each point denotes an event x = (t, s) 
            
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associated with time t and location s. STPP is a principled framework 
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associated with time t and location s. STPP is a principled framework 
            
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for modeling sequences consisting of spatio-temporal events, and has 
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for modeling sequences consisting of spatio-temporal events, and has 
            
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been applied in a wide range of fields, such as earthquakes and 
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been applied in a wide range of fields, such as earthquakes and 
            
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aftershocks, disease spread, urban mobility, and emergencies.",
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aftershocks, disease spread, urban mobility, and emergencies.",
            
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      "display_name": "spatio-temporal",
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      "display_name": "spatio-temporal",
            
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      "id": "317eb11c-5e44-4c49-a9d2-805aefa21fc7",
            
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      "name": "spatio-temporal",
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      "name": "spatio-temporal",
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "Spatio-temporal Diffusion Point Processes",
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  "title": "Spatio-temporal Diffusion Point Processes",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}