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  "author": "Gabriel Fern\u00e1ndez-Fern\u00e1ndez",
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  "author": "Gabriel Fern\u00e1ndez-Fern\u00e1ndez",
            
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  "doi": "10.57702/2jc04dta",
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  "doi_date_published": "2024-12-16",
            
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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": "Carlo Manzo",
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      "extra_author": "Carlo Manzo",
            
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Maciej Lewenstein",
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      "extra_author": "Maciej Lewenstein",
            
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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": "Alexandre Dauphin",
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      "extra_author": "Alexandre Dauphin",
            
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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": "Gorka Mu\u00f1oz-Gil",
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      "extra_author": "Gorka Mu\u00f1oz-Gil",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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      "description": "",
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      "description": "",
            
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      "name": "stochastic-processes",
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      "name": "stochastic-processes",
            
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      "title": "Stochastic Processes"
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      "title": "Stochastic Processes"
            
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    },
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    },
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Variational Autoencoders",
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      "display_name": "Variational Autoencoders",
            
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      "name": "variational-autoencoders",
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      "name": "variational-autoencoders",
            
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      "title": "Variational Autoencoders"
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      "title": "Variational Autoencoders"
            
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  "name": 
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  "name": 
            
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epresentations-of-stochastic-processes-with-variational-autoencoders",
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epresentations-of-stochastic-processes-with-variational-autoencoders",
            
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  "notes": "Stochastic processes have found numerous applications in 
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  "notes": "Stochastic processes have found numerous applications in 
            
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science, as they are broadly used to model a variety of natural 
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science, as they are broadly used to model a variety of natural 
            
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phenomena. The dataset consists of trajectories of stochastic 
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phenomena. The dataset consists of trajectories of stochastic 
            
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processes, including Brownian motion, fractional Brownian motion, and 
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processes, including Brownian motion, fractional Brownian motion, and 
            
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scaled Brownian motion.",
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scaled Brownian motion.",
            
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      "display_name": "Stochastic Processes",
            
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      "id": "ca6f0dff-56dd-46f8-97a8-6b84415d2cd5",
            
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      "name": "Stochastic Processes",
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      "name": "Stochastic Processes",
            
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      "state": "active",
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      "state": "active",
            
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    {
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      "display_name": "Variational Autoencoders",
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      "display_name": "Variational Autoencoders",
            
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      "id": "971a62a2-3ca1-47bb-8737-4b4f4cef03ff",
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      "id": "971a62a2-3ca1-47bb-8737-4b4f4cef03ff",
            
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      "name": "Variational Autoencoders",
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      "name": "Variational Autoencoders",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "Learning minimal representations of stochastic processes 
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  "title": "Learning minimal representations of stochastic processes 
            
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with variational autoencoders",
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with variational autoencoders",
            
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  "type": "dataset",
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  "version": ""
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  "version": ""
            
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}
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}