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  "author": "Tao Yang",
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  "author": "Tao Yang",
            
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  "doi": "10.57702/xwue9zz1",
            
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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": "Cuiling Lan",
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      "extra_author": "Cuiling Lan",
            
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Yan Lu",
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      "extra_author": "Yan Lu",
            
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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": "Nanning zheng",
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      "extra_author": "Nanning zheng",
            
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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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      "display_name": "Disentangled Representation Learning",
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      "display_name": "Disentangled Representation Learning",
            
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      "name": "disentangled-representation-learning",
            
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      "title": "Disentangled Representation Learning"
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      "title": "Disentangled Representation Learning"
            
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    }
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  "notes": "Disentangled representation learning strives to extract 
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  "notes": "Disentangled representation learning strives to extract 
            
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the intrinsic factors within observed data. Factorizing these 
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the intrinsic factors within observed data. Factorizing these 
            
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representations in an unsupervised manner is notably challenging and 
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representations in an unsupervised manner is notably challenging and 
            
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usually requires tailored loss functions or specific structural 
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usually requires tailored loss functions or specific structural 
            
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designs.",
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designs.",
            
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      "display_name": "Disentangled Representation Learning",
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      "display_name": "Disentangled Representation Learning",
            
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      "name": "Disentangled Representation Learning",
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  "title": "Diffusion Model with Cross Attention as an Inductive Bias 
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  "title": "Diffusion Model with Cross Attention as an Inductive Bias 
            
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for Disentanglement",
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for Disentanglement",
            
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