Changes

              
    

          
          
        
        

            
f
1
{
f
1
{
            
2
  "access_rights": "",
2
  "access_rights": "",
            
3
  "author": "Angus Phillips",
3
  "author": "Angus Phillips",
            
4
  "author_email": "",
4
  "author_email": "",
            
5
  "citation": [],
5
  "citation": [],
            
6
  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
6
  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
7
  "defined_in": "https://doi.org/10.48550/arXiv.2402.06320",
7
  "defined_in": "https://doi.org/10.48550/arXiv.2402.06320",
            
8
  "doi": "10.57702/08y2pl95",
8
  "doi": "10.57702/08y2pl95",
            
n
9
  "doi_date_published": null,
n
9
  "doi_date_published": "2024-12-02",
            
10
  "doi_publisher": "TIB",
10
  "doi_publisher": "TIB",
            
n
11
  "doi_status": false,
n
11
  "doi_status": true,
            
12
  "domain": "https://service.tib.eu/ldmservice",
12
  "domain": "https://service.tib.eu/ldmservice",
            
13
  "extra_authors": [
13
  "extra_authors": [
            
14
    {
14
    {
            
15
      "extra_author": "Hai-Dang Dau",
15
      "extra_author": "Hai-Dang Dau",
            
16
      "orcid": ""
16
      "orcid": ""
            
17
    },
17
    },
            
18
    {
18
    {
            
19
      "extra_author": "Michael John Hutchinson",
19
      "extra_author": "Michael John Hutchinson",
            
20
      "orcid": ""
20
      "orcid": ""
            
21
    },
21
    },
            
22
    {
22
    {
            
23
      "extra_author": "Valentin De Bortoli",
23
      "extra_author": "Valentin De Bortoli",
            
24
      "orcid": ""
24
      "orcid": ""
            
25
    },
25
    },
            
26
    {
26
    {
            
27
      "extra_author": "George Deligiannidis",
27
      "extra_author": "George Deligiannidis",
            
28
      "orcid": ""
28
      "orcid": ""
            
29
    },
29
    },
            
30
    {
30
    {
            
31
      "extra_author": "Arnaud Doucet",
31
      "extra_author": "Arnaud Doucet",
            
32
      "orcid": ""
32
      "orcid": ""
            
33
    }
33
    }
            
34
  ],
34
  ],
            
35
  "groups": [
35
  "groups": [
            
36
    {
36
    {
            
37
      "description": "",
37
      "description": "",
            
38
      "display_name": "Diffusion Models",
38
      "display_name": "Diffusion Models",
            
39
      "id": "92c5c06b-20eb-44ab-8212-50fe6cbf8971",
39
      "id": "92c5c06b-20eb-44ab-8212-50fe6cbf8971",
            
40
      "image_display_url": "",
40
      "image_display_url": "",
            
41
      "name": "diffusion-models",
41
      "name": "diffusion-models",
            
42
      "title": "Diffusion Models"
42
      "title": "Diffusion Models"
            
43
    },
43
    },
            
44
    {
44
    {
            
45
      "description": "",
45
      "description": "",
            
46
      "display_name": "Generative Modeling",
46
      "display_name": "Generative Modeling",
            
47
      "id": "941575b4-5ac2-40b1-ab32-cde6a441999c",
47
      "id": "941575b4-5ac2-40b1-ab32-cde6a441999c",
            
48
      "image_display_url": "",
48
      "image_display_url": "",
            
49
      "name": "generative-modeling",
49
      "name": "generative-modeling",
            
50
      "title": "Generative Modeling"
50
      "title": "Generative Modeling"
            
51
    },
51
    },
            
52
    {
52
    {
            
53
      "description": "",
53
      "description": "",
            
54
      "display_name": "Score Matching",
54
      "display_name": "Score Matching",
            
55
      "id": "b6bcdeb6-cd32-41d0-bb86-89f6b049a90c",
55
      "id": "b6bcdeb6-cd32-41d0-bb86-89f6b049a90c",
            
56
      "image_display_url": "",
56
      "image_display_url": "",
            
57
      "name": "score-matching",
57
      "name": "score-matching",
            
58
      "title": "Score Matching"
58
      "title": "Score Matching"
            
59
    }
59
    }
            
60
  ],
60
  ],
            
61
  "id": "69760466-54d7-4a99-981a-e0beb838d6b2",
61
  "id": "69760466-54d7-4a99-981a-e0beb838d6b2",
            
62
  "isopen": false,
62
  "isopen": false,
            
63
  "landing_page": "",
63
  "landing_page": "",
            
64
  "license_title": null,
64
  "license_title": null,
            
65
  "link_orkg": "",
65
  "link_orkg": "",
            
66
  "metadata_created": "2024-12-02T18:14:25.428252",
66
  "metadata_created": "2024-12-02T18:14:25.428252",
            
n
67
  "metadata_modified": "2024-12-02T18:14:25.428257",
n
67
  "metadata_modified": "2024-12-02T18:14:25.778478",
            
68
  "name": "particle-denoising-diffusion-sampler",
68
  "name": "particle-denoising-diffusion-sampler",
            
69
  "notes": "Denoising diffusion models have become ubiquitous for 
69
  "notes": "Denoising diffusion models have become ubiquitous for 
            
70
generative modeling. The core idea is to transport the data 
70
generative modeling. The core idea is to transport the data 
            
71
distribution to a Gaussian by using a diffusion. Approximate samples 
71
distribution to a Gaussian by using a diffusion. Approximate samples 
            
72
from the data distribution are then obtained by estimating the 
72
from the data distribution are then obtained by estimating the 
            
73
time-reversal of this diffusion using score matching ideas.",
73
time-reversal of this diffusion using score matching ideas.",
            
n
74
  "num_resources": 0,
n
74
  "num_resources": 1,
            
75
  "num_tags": 3,
75
  "num_tags": 3,
            
76
  "organization": {
76
  "organization": {
            
77
    "approval_status": "approved",
77
    "approval_status": "approved",
            
78
    "created": "2024-11-25T12:11:38.292601",
78
    "created": "2024-11-25T12:11:38.292601",
            
79
    "description": "",
79
    "description": "",
            
80
    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
80
    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
81
    "image_url": "",
81
    "image_url": "",
            
82
    "is_organization": true,
82
    "is_organization": true,
            
83
    "name": "no-organization",
83
    "name": "no-organization",
            
84
    "state": "active",
84
    "state": "active",
            
85
    "title": "No Organization",
85
    "title": "No Organization",
            
86
    "type": "organization"
86
    "type": "organization"
            
87
  },
87
  },
            
88
  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
88
  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
89
  "private": false,
89
  "private": false,
            
90
  "relationships_as_object": [],
90
  "relationships_as_object": [],
            
91
  "relationships_as_subject": [],
91
  "relationships_as_subject": [],
            
t
92
  "resources": [],
t
92
  "resources": [
            
93
    {
            
94
      "cache_last_updated": null,
            
95
      "cache_url": null,
            
96
      "created": "2024-12-02T18:38:42",
            
97
      "data": [
            
98
        "dcterms:title",
            
99
        "dcterms:accessRights",
            
100
        "dcterms:creator",
            
101
        "dcterms:description",
            
102
        "dcterms:issued",
            
103
        "dcterms:language",
            
104
        "dcterms:identifier",
            
105
        "dcat:theme",
            
106
        "dcterms:type",
            
107
        "dcat:keyword",
            
108
        "dcat:landingPage",
            
109
        "dcterms:hasVersion",
            
110
        "dcterms:format",
            
111
        "mls:task",
            
112
        "datacite:isDescribedBy"
            
113
      ],
            
114
      "description": "The json representation of the dataset with its 
            
115
distributions based on DCAT.",
            
116
      "format": "JSON",
            
117
      "hash": "",
            
118
      "id": "fd24e4a8-91cb-43da-b5de-62f694fe367c",
            
119
      "last_modified": "2024-12-02T18:14:25.771210",
            
120
      "metadata_modified": "2024-12-02T18:14:25.781283",
            
121
      "mimetype": "application/json",
            
122
      "mimetype_inner": null,
            
123
      "name": "Original Metadata",
            
124
      "package_id": "69760466-54d7-4a99-981a-e0beb838d6b2",
            
125
      "position": 0,
            
126
      "resource_type": null,
            
127
      "size": 1043,
            
128
      "state": "active",
            
129
      "url": 
            
130
resource/fd24e4a8-91cb-43da-b5de-62f694fe367c/download/metadata.json",
            
131
      "url_type": "upload"
            
132
    }
            
133
  ],
            
93
  "services_used_list": "",
134
  "services_used_list": "",
            
94
  "state": "active",
135
  "state": "active",
            
95
  "tags": [
136
  "tags": [
            
96
    {
137
    {
            
97
      "display_name": "Diffusion Models",
138
      "display_name": "Diffusion Models",
            
98
      "id": "eeac2127-6785-445b-b887-a5f3975fc676",
139
      "id": "eeac2127-6785-445b-b887-a5f3975fc676",
            
99
      "name": "Diffusion Models",
140
      "name": "Diffusion Models",
            
100
      "state": "active",
141
      "state": "active",
            
101
      "vocabulary_id": null
142
      "vocabulary_id": null
            
102
    },
143
    },
            
103
    {
144
    {
            
104
      "display_name": "Generative Modeling",
145
      "display_name": "Generative Modeling",
            
105
      "id": "cb951611-e951-47d8-8fed-b31d79d3cb48",
146
      "id": "cb951611-e951-47d8-8fed-b31d79d3cb48",
            
106
      "name": "Generative Modeling",
147
      "name": "Generative Modeling",
            
107
      "state": "active",
148
      "state": "active",
            
108
      "vocabulary_id": null
149
      "vocabulary_id": null
            
109
    },
150
    },
            
110
    {
151
    {
            
111
      "display_name": "Particle Denoising Diffusion Sampler",
152
      "display_name": "Particle Denoising Diffusion Sampler",
            
112
      "id": "76595293-d2ce-4464-935e-c33021ca2c0c",
153
      "id": "76595293-d2ce-4464-935e-c33021ca2c0c",
            
113
      "name": "Particle Denoising Diffusion Sampler",
154
      "name": "Particle Denoising Diffusion Sampler",
            
114
      "state": "active",
155
      "state": "active",
            
115
      "vocabulary_id": null
156
      "vocabulary_id": null
            
116
    }
157
    }
            
117
  ],
158
  ],
            
118
  "title": "Particle Denoising Diffusion Sampler",
159
  "title": "Particle Denoising Diffusion Sampler",
            
119
  "type": "dataset",
160
  "type": "dataset",
            
120
  "version": ""
161
  "version": ""
            
121
}
162
}